WO2001069492A1 - Routing methods and systems for increasing payment transaction volume and profitability - Google Patents

Routing methods and systems for increasing payment transaction volume and profitability Download PDF

Info

Publication number
WO2001069492A1
WO2001069492A1 PCT/US2001/007554 US0107554W WO0169492A1 WO 2001069492 A1 WO2001069492 A1 WO 2001069492A1 US 0107554 W US0107554 W US 0107554W WO 0169492 A1 WO0169492 A1 WO 0169492A1
Authority
WO
WIPO (PCT)
Prior art keywords
payment
transaction
customer
issuer
instruments
Prior art date
Application number
PCT/US2001/007554
Other languages
French (fr)
Inventor
Lance Johnson
Brian Buckley
Paul C. Kocher
Peter Meffert
Original Assignee
Doublecredit Corporation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Doublecredit Corporation filed Critical Doublecredit Corporation
Priority to AU2001243530A priority Critical patent/AU2001243530A1/en
Publication of WO2001069492A1 publication Critical patent/WO2001069492A1/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/08Payment architectures
    • G06Q20/10Payment architectures specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/03Credit; Loans; Processing thereof
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Definitions

  • the invention relates to methods and apparatus for the automated processing payment transactions.
  • the traditional methods for adding new accounts include but are not limited to direct customer solicitations and portfolio acquisition. Both methods are costly, entail a level of risk associated with the unknown and considering the initial investment necessary, have limited capability in the short term to impact net profitability. Additionally the long-term success of either depends on the issuer's ongoing ability to manage these new accounts in a profitable manner.
  • Methods used for income enhancement for existing accounts include additional or increased account- management fees for new or existing services, penalty fees for improper account or instrument usage and interest rate manipulation. Although these methods can be effective, the acquisition process is highly competitive and fee increases may cause a loss of customer loyalty thereby reducing the instruments use and potentially loss of the customer account, both of which impact long term portfolio profitability. Additionally, if fees and interest rates appear to be excessive, regulators and card associations may intercede on behalf of consumers, and cap these charges.
  • Reward programs are one commonly used method for encouraging customers to use a particular issuer's cards. Examples of reward programs include frequent flier miles offered by some credit cards, the cash rebate offered by the Discover card, and the reward programs described in U.S. patent 5,025,372 to Burton et al., in U.S. patent 6,018,718 to Walker et al., and in U.S. Patent 6,009,412 to Storey. Although reward programs can attract customers and increase transaction volume, they are costly and relatively inefficient. As a result, issuers will provide rewards for some unprofitable transactions, fail to attract some transactions that would be profitable, and may cause some marginal accounts to default by encouraging over-use of credit.
  • checks have several advantages over cash because they are non-negotiable before they are signed. (In most cases, the account holder is not liable if the signature on a check is forged.) In addition, they can be used for impulse purchases of any amount, provided that the customer has sufficient funds to cover the purchase. Fees for clearing checks are generally low, but merchants usually bear the loss if a check is disputed prior to account clearing, e.g., if the funds in the customer's account are insufficient to cover the payment. As a result, checks are generally not accepted for high-risk transactions. Compared to electronic fransactions, checks are slow to mail and clear, making them awkward for mail-order and Internet purchases.
  • Techniques for improving check-based transactions include check guarantee cards so that merchants can verify the validity of a check at the point of sale, electronic check clearing networks (such as NACHA), account or customer activity or black lists (such as Telecredit) and electronic methods for allowing check payments without exchange of a paper check.
  • Use of paper instruments is incompatible with the non-face-to-face transaction as exemplified by mail or telephone order and Internet based fransactions.
  • the implementation of electronic check substitutions is not yet widespread, and the historical fear of account misuse may pose a significant obstacle to customer acceptance. Credit cards and many other kinds of payment cards have several important benefits over checks.
  • FIGs la and lb diagram a typical credit card transaction.
  • the authorization process occurs first and is shown in Figure la.
  • the customer (100) provides the card or card number to a merchant (110), who submits a summary of the transaction as a request for authorization to an acquirer (120).
  • the acquirer (120) submits the summary to the appropriate credit card payment network (130), which in turn either decides on the card issuer's behalf or submits the transaction to the issuer (140) for a decision.
  • Possible decisions can include “approve”, “decline” (with or without special conditions such as confiscating the card), or “refer” (meaning that the merchant must contact the card issuer or its agent for some reason, e.g. for additional cardholder verification steps or to inform the merchant of special processing requirements). If the card association authorizes on behalf of the issuer then the decision is routed back to the merchant and also to the issuer.
  • the issuer decides on their own behalf then the decision is routed back through the network to the merchant.
  • the transaction can be processed as shown in Figure lb.
  • the merchant (110) completes the sale and submits the complete transaction to the acquirer (120).
  • the acquirer (120) in turn submits the transaction to the credit card payment network (130), which in turn forwards the transac- tion to the issuer (140) who then posts the activity to the cardholder's account.
  • authorization and transaction processing are performed simultaneously using single set of messages.
  • the reimbursement process typically works in reverse, where the issuer (140) pays the payment network (130) the transaction amount less its portion of the interchange fee
  • the payment network (130) pays the acquirer (120) the fransaction amount minus the interchange fee and any fransaction fees it imposes. Finally, the acquirer pays the merchant (110) or the merchant bank the fransaction amount minus the merchant's discount (the discount encompassing each of the previously stated fees plus any additional fees added by the acquirer). Payments to participants can be "netted” to reduce the amount of money transfened in the system. For transactions involving multiple cunencies, cunency conversions can be applied by the card association or other participants.
  • Some payment cards include support for multiple payment networks.
  • a typical credit card or debit card might support a major credit brand (e.g., MasterCard) as well as one or more alternate networks (e.g., Cirrus, Star, Interlink, Plus, etc.).
  • Merchants such as grocery stores may not support the major brand (e.g., because the discount rate is too high), but may be able to process transactions on lower-cost networks.
  • U.S. patent 6,014,635 to Harris et al. describes a credit card transaction discounting system that leverages existing credit card networks' authorization and transaction processing capabilities.
  • the operator of the scheme issues identification numbers to customers, where the identification numbers comply with credit card number formatting standards and begin with a bank identification number (BIN) that can be processed through standard credit card networks.
  • BIN bank identification number
  • the customer's identification number is linked to a credit card belonging to the customer.
  • the discount system uses the customer's account number to locate the customer's credit card number and performs a debit against that account.
  • the system posts a credit to the customer for the discount (refund) amount.
  • This approach has several serious limitations.
  • transactions using a particular payment instrument can be processed using any of several networks.
  • some cards issued for use on ATM networks support fransactions processed via a variety of payment networks, such as
  • Multi-network ATMs use priority lists that rank the supported networks so that transactions will be processed using the most-favored (e.g., lowest-cost) compatible network.
  • Risk analysis systems are used by issuers and other participants in payment systems to evaluate the risk associated with a transaction given knowledge about the account and transaction.
  • Transaction risk evaluation involves two levels. The first involves "underwriting characteristics," which are indicative of risk and "goodness” as determined by cardholder information (either for the cardholder as indicated by a credit or fraud reporting agency) or the account (as indicated by the type, cureent condition, historical evidence and unique characteristics associated with its use).
  • the second group of characteristics is those associated with the transaction, such as merchant information and purchase characteristics.
  • Acquirer refers to the bank, company, or other organization that has the contractual and funds settlement relationship with merchants. Acquirers, either directly or via their agents, are responsible for processing transactions through to the issuer
  • acquirers include, without limitation, credit card acquirers and merchant banks that accept checks.
  • the role of the acquirer may involve several different companies or organizations, such as banks, independent service organizations (ISO's), or processors.
  • ISO's independent service organizations
  • Authorization refers to both the process and product of the process by which a merchant requests liability protection or other assurances that a payment instrument is valid before accepting a payment instrument to consummate a sale.
  • the assurance includes a guarantee by the payment instrument issuer to accept responsibility for payment of the transaction.
  • ATM Automatic Teller Machine
  • ATMs commonly use a customer's card to identify an account to debit and receive a PIN from the user to verify the cardholder identity before dispensing money.
  • Cash Currency issued by a government, or private equivalents.
  • Chargeback refers to both the process and product of the process that an issuer uses to debit part or all of the value a sales transaction from a merchant based on some violation of rules by the merchant or non-acceptance right exercised by the issuer.
  • clearing refers to the process of providing accounting details sufficient for the purposes of debiting a cardholder account, and creating net funds positions among issuers, acquirers and merchants.
  • Computer A software-controlled electronic data processing device, including without limitation microprocessor-driven circuits, personal computers, mainframe computers, and embedded systems.
  • Credit Card A payment card that offers a revolving line of credit.
  • Debit Card A payment card that is linked to a funds-bearing account (e.g., a bank checking account) so that purchases are debited from the linked account.
  • Discount Rate The difference between the amount of a transaction and the amount paid to the merchant.
  • the discount rate includes fees charged by the acquirer plus payment network and interchange fees. For example, a merchant might receive $98.50 from a $100 transaction, coreesponding to a discount rate of 1.5 percent.
  • Electronic payment network An electronic network that connects issuers and acquirers and enables them to settle transactions. Many electronic payment networks "net" transac- tions so that each participant pays or receives an amount conesponding to the difference between their total debits and credits through the network for a given time period. Examples of electronic payment networks include VISA, MasterCard, STAR, Carte Bancaire, FedWire, and NACHA.
  • Issuer The bank, company, or other organization that issues a payment instrument.
  • the issuer often (but not always) maintains a relationship with the customer, providing account statements and other services.
  • Examples of issuers include without limitation credit card issuers, companies or banks issuing electronic money, banks that provide checking accounts, and governments that issue cash.
  • Payment Card Any general purpose payment card (including without limitation smart cards and/or magnetic stripe cards) that can be used by a customer to perform payment transactions.
  • the term payment card shall be understood to include, without limitation, debit cards, cards that offer a revolving line of credit, and cards that do not offer a revolving line of credit.
  • Payment cards can be issued by any organization, including without limitation banks, merchants, savings and loans, card associations, specialty travel and entertainment companies, etc.
  • often have access to multiple payment methods for any given transaction. For example, a customer might be able to pay for a purchase using cash, a check, a debit card, or a credit card. Cmrently the customer choice of payment methods is often arbitrary, since most merchants charge the same prices for all supported payment methods.
  • issuers process some transactions that are highly profitable and others that are unprofitable. Even in systems that provide issuers with the ability to evaluate and reject individual transactions, many transactions likely to be unprofitable must still be accepted because rejecting a transaction creates new costs and problems such as customer complaints, customer dissatisfaction, merchant dissatisfaction, potential legal issues, etc. As a result, even if a large fraction of transactions are unprofitable, issuers must accept virtually all transactions that enter their systems and must derive enough revenue from the profitable transactions to make their business profitable. For example, credit card transactions from customers who pay their balances each month generally lose money, but a few charges from individuals who carry balances at high interest rates can compensate for a relatively large number of unprofitable transactions.
  • issuers had better control over which transactions they processed, their profits would increase significantly.
  • Some of this transaction volume is from customers with two payment instruments (e.g., two credit cards or a credit card and a checkbook). If the issuer had more transaction-level control, profitability would be much greater because they would be able to obtain a larger share of profitable transactions and a smaller share of unprofitable transactions. For example, assume that K is the fraction of customers who are willing to offer two independent payment instruments.
  • the invention provides issuers with the ability to select or reject individual transactions prior to the customer committing to any specific payment scheme.
  • a transaction evaluator obtains information about multiple payment methods supported by a customer and then, based on criteria such as profitability to the issuers, uses automated systems to select one of the supported payment methods for the transaction.
  • the system can improve issuer profitability by directing profitable transactions to participating issuers while directing unprofitable transactions away from participating issuers or to alternate transaction methods that are more profitable or less costly. A portion of this increased profit can be provided back to the merchant or customer in the form of discounts, rebates, or other incentives.
  • various embodiments of the invention may combine various subsets (including possibly all) of the above aspects, thereby achieving various subsets of the above objects.
  • the invention is not necessarily to be construed to require all of the above aspects or to achieve objects.
  • FIGURES la and lb illustrate steps involved in processing of a credit card transaction of the background art.
  • FIGURE 2 illustrates several transaction processing components in one embodiment of the invention.
  • FIGURE 3 illustrates processing steps performed in one embodiment of the invention.
  • Figure 2 shows the overall transaction flow in an exemplary transaction using an exemplary embodiment of the invention.
  • Customer (200) has relationships with issuer 1 (210) and issuer 2 (215), issuers of two payment instruments.
  • Each issuer may provide services to the customer, the payment network, and/or any other entity involved with the network, such as providing transaction and billing statements showing purchases, extending credit, and accepting risk if customer (200) fails to pay.
  • customer (200) provides information describing the payment method(s) that the customer can offer and is willing to allow the merchant to use for the fransaction. If the customer can only provide one payment method acceptable to the merchant or that can cover the entire purchase amount, the merchant processes the transaction with that method. Otherwise, the merchant receives information about two or more methods with the understanding from the customer that the transaction may be processed by either or any of these methods. In exchange for providing the merchant with increased billing flexibility, the merchant can optionally provide an incentive to the customer, such as a price discount, a rebate, free shipping, improved payment terms (such as a reduced interest rate), award points (such as airline frequent flier miles), or additional products or services.
  • an incentive such as a price discount, a rebate, free shipping, improved payment terms (such as a reduced interest rate), award points (such as airline frequent flier miles), or additional products or services.
  • the nature and size of the customer incentive can be based on factors including without limitation the types of payment instruments offered, their issuers, transaction characteristics (amount, risk, cunency, merchant type or identity, date/time, etc.), transaction processing costs, issuer rebates, etc.
  • the merchant may be able to impose a surcharge if only one payment method is supplied and/or based on the characteristics of the payment methods offered.
  • Merchant's point-of-sale systems provide information about the transaction methods to transaction evaluator (230) (described in Section E below and elsewhere), which is responsible for selecting one of the payment methods. Both the process of sending information to the transaction evaluator and the transaction evaluator's selection processes are preferably automatic.
  • the selection result typically depends on the estimated cost/benefit characteristics (e.g., economic utility) for each payment method. For example, a payment instrument from an issuer that has a business relationship with the transac- tion evaluator (which can be operated by the merchant, the issuer, some combination of entities, or independently) to provide a 50-cent rebate per transaction would be chosen over a similar instrument from an issuer that does not.
  • the transaction evaluator can also route transactions that are likely to be unprofit- able (e.g., if the transaction is small or has a high credit loss or fraud risk, etc.) away from issuers who have appropriate business relationships with the merchant or the transaction evaluator.
  • the transaction evaluator provides information about the transaction to the risk management systems operated by or on behalf of one or more issuers. These systems analyze the transaction characteristics to determine the cost or value of processing the transaction via each payment method.
  • the issuer's risk management systems can be configured to perform a cost/benefit analysis of the transaction to estimate the expected the profit or loss associated with handling the fransaction. If an issuer does not have any business relationship with the fransaction evaluator or lacks real-time fransaction evaluation capability, then the cost/benefit analysis for processing that fransaction can be performed by the fransaction evaluator.
  • the processing terms may be based on predetermined rules that can be applied by the transaction evaluator, the merchant, or any other party.
  • participating issuers offer a flat per-transaction rebate or incentive to the transaction evaluator in order to receive transactions.
  • issuers can pay a monthly fee for preferential access to transactions.
  • issuers can provide incentives to not receive (or receive fewer) transactions that are likely to be unprofitable.
  • issuers perform real-time analysis of the transaction data and offer variable-amount rebates (or discounts from transaction processing costs or other incentives) in order to receive profitable fransactions or to avoid unprofitable (or otherwise disadvantageous) ones.
  • Issuer incentives can be of any form.
  • issuers provide incentives (such as free shipping and discounted interest rates) that merchants can pass along to customers.
  • issuers provide advertising and other non-monetary benefits to merchants.
  • the transaction evaluator chooses one transaction method and notifies merchant (205) which method to use when processing the payment transaction.
  • the merchant notifies the customer which payment method will be used and submits the transaction for payment through the appropriate transaction processing mechanism.
  • the merchant electronically submits the transaction
  • the acquirer forwards the fransaction to the payment network (255), which pays the acquirer.
  • the payment network submits the transaction to the appropriate issuer (210 or 215), which pays the network.
  • the selected issuer (210 or 215) bills the customer (200) for the transaction amount.
  • accounting systems track the re- bate/incentive amounts based on the transaction evaluator decision results. For example, the accounting systems can verify that issuers (210 and/or 215) pay the correct rebate amounts (240), ensure that the merchant's share of any rebate amounts are deposited in merchant bank account (245), and keep records so that transactions can be audited.
  • the customer is notified at the end of the transaction (e.g., on a receipt, on a web page, via e-mail, by a telephone operator reading from a computer, by a display on a wireless PDA containing a payment wallet, etc.) which payment method was selected.
  • any customer actions remain that are required to explicitly authorize the payment (e.g., supplying cash or a check, signing a credit card receipt, signing a paper check, providing a digital signature, inserting a smart card, entering a PIN, pressing a confirmation button, providing the last digits of a credit card number, etc.), these steps are preferably (but not necessarily) performed after the selection is complete.
  • the transaction evaluator decision is configured to minimize the delay from when the customer first provides the payment methods to when the transaction is com- pleted.
  • the transaction processing can be automated using computer-based processing systems and electronic data networks.
  • the Internet is used to carry transaction processing messages.
  • any or all of the merchant terminal (205), transaction evaluator (230) and/or the issuer risk management systems (220 and 225) can be combined.
  • the per-transaction cost/benefit analysis can thus be performed by the transaction evaluator, optionally using data records stored in a memory containing payment selection criteria.
  • These records can include without limitation rules, software, algorithms, and/or data describing payment processing terms, prefened payment instrument types, prefened issuers, blacklisted instruments, blacklisted issuers, rules for computing fransaction processing terms for prefened issuers, rules for computing default transaction processing terms, network routing tables, processing issuer responses, handling failure modes, determining customer incentives, etc.
  • These records can be generated by the transaction evaluator, the merchant or its agent, the card network, the issuers, etc. Record updates can be transmitted via the computer networks used to carry payment-related information, send via modem, entered manually, etc. and can be digitally signed or otherwise protected cryptographically to prevent tampering or enors.
  • the merchant's web site sends a form to the user's browser with two entries for payment instruments and offers the customer free shipping if two payment methods are supplied.
  • the customer enters a credit card number as a first payment option and checking account details (including the bank routing number and account number) as a second payment option.
  • the customer enters a shipping address, credit card billing address, e-mail address, and/or telephone number.
  • the merchant's web site receives the payment method data and recognizes that two payment methods have been supplied.
  • Payment information including the transaction amount and payment method, is transmitted via a computer network (such as the Internet, or a leased line) from the web server to a transaction evaluator.
  • Other data such as the addresses, information about what was purchased, etc. are also sent to help with processes such as transaction approval and risk management.
  • the fransaction evaluator identifies the issuer of each payment method and identifies the business rules for processing each fransaction.
  • the transaction evaluator analyzes each transaction: (i) For the credit card option, the transaction evaluator transmits information including the card number and the transaction amount ($100) to the credit card issuer. In this example, the credit card issuer offers a rebate of $1.20 for the transaction and additionally offers to take the risk if the transaction is fraudulent and or repudi- ated by the customer. If the merchant's (standard) discount rate is
  • the expected net transaction processing terms thus conespond to receiving $98.00 for the $100 transaction
  • the transaction evaluator selects the credit card as the prefened transaction processing method, since the checking account transaction has an estimated average discount rate of 2 percent as opposed to 1.8 percent for the credit card transaction
  • the fransaction evaluator notifies the merchant web server that the first payment option (i.e., the credit card) was selected and notifies the merchant that $97 should be received from the issuer and that the merchant will receive a rebate of $ 1.10.
  • the remaining $0.10 of the rebate is kept by the transaction evaluator, as shown in steps (k) and (n) below, (j)
  • the web server notifies the customer, obtains final customer authorization for the charge (if necessary), and processes the credit card payment to the credit card acquirer.
  • the accounting systems receive notification from the transaction evaluator that a $ 1.20 rebate is expected from the credit card issuer, of which $ 1.10 is owed to the merchant.
  • the merchant provides the goods/services ordered by the customer.
  • the normal transaction processing occurs (i.e., the acquirer submits the transaction to the credit card network, which in turn submits the transaction to the issuer, which pays the network and bills the customer. The network then pays the acquirer who pays the merchant.)
  • the accounting systems receive a $1.20 rebate from the issuer and pay $ 1.10 to the merchant via the merchant's bank. These payments may be aggregated with other payments or rebate amounts in a batched fashion.
  • the accounting systems may also need to receive confirmation that the transaction processing was successful. If the credit card transaction later fails to go through, business relationships may be structured so that no refunds are granted, in which case the transaction processing systems would, preferably automatically, notify the accounting systems so that no rebate would be expected.
  • automated includes both processes that are fully automated as well as processes that involve a combination of automated (e.g., computer-implemented) steps and manual steps.
  • the following is another exemplary transaction using one embodiment of the invention. Note that in all examples, the specific steps and their ordering can vary between transactions or embodiments.
  • the following fransaction sequence which is shown in Figure 3, can be used by a variety of merchant types, including without limitation conventional retail, mail order, on-line/Internet, etc.
  • the merchant's representative or automated system provides the customer with the opportunity to provide two payment instruments and (optionally) offers an incentive if two payment methods are supplied.
  • the customer may also provide other data such as billing ad- dress(es), contact and shipping information, etc.
  • step 305 the customer provides one or more payment methods.
  • the merchant determines whether the customer supplied two methods. If only one method was supplied; the transaction is completed in the conventional manner at step 315 using the payment method supplied. (e) Otherwise, the customer supplied two payment methods. In this example, the customer provided two different credit card numbers.
  • the merchant verifies that both instruments are valid for the transaction (e.g., by obtaining payment authorizations for each credit card).
  • the transaction amount and payment method information are transmitted electronically (including without limitation via a computer network such as the Internet, via a leased line, etc.) to a transaction evaluator. Other data (such as the customer's address, information about what was purchased, the customer's photograph, etc.) can also be sent to help with processes such as transaction approval and risk management.
  • the transaction evaluator identifies the issuers of each payment method and identifies the business rules for processing each transaction, (i) At step 325, the transaction evaluator sends information about the transaction to each of the issuers or, if the issuers are not participating or are not connected, the data is sent to systems for computing the transaction benefit
  • the transaction evaluator determines that the card belongs to a participating issuer that is able to perform real-time transaction analysis. The transaction evaluator therefore sends the transaction data to the issuer at step 330. If no suitable reply is received, then the transaction evaluator assumes at step 332 that the default transaction processing terms defined by the payment network apply. Otherwise, at step 335, the issuer offers transaction terms or preferences. In this example, the credit card issuer offers a rebate of $0.50 for the fransaction. If the merchant's discount rate is 3% for transactions on the credit card network, the net transaction processing terms conesponds to receiving $97.50 for the $100 transaction.
  • the transaction evaluator determines in this example at step 340 that the credit card issuer does not participate in the service. As a result, at step 345, the transaction evaluator determines the normal terms for processing the transaction. In this example if the merchant's discount rate is 3% for transactions on the credit card network, the net transaction processing terms conesponds to receiving $97.00 for the $100 fransaction. (iii) At step 350, the transaction evaluator selects the first credit card as the prefened fransaction processing method, since the first credit card was with a participating issuer and offers the greatest transac- . tion benefit.
  • the fransaction evaluator notifies the merchant that the first payment option (i.e., the credit card) was selected and notifies the merchant that $97 should be received from the issuer and that the merchant will receive a rebate of $0.45.
  • the remaining $0.05 of the rebate is kept by the transaction evaluator, as shown in steps (1) and (o) below.
  • step 370 the merchant notifies the customer which instrument was selected, obtains final customer authorization for the charge (if necessary), and processes the credit card payment to the credit card acquirer using the authorization previously obtained using the selected credit card. The other (unused) authorization is released.
  • the accounting systems receive notification from the transaction evaluator that a $0.50 rebate is expected from the credit card issuer, of which $0.45 is owed to the merchant, (m)
  • the merchant provides the goods/services ordered by the customer.
  • the normal transaction processing occurs (i.e., the acquirer submits the transaction to the credit card network, which in turn submits the fransaction to the issuer, which pays the network and bills the customer. The network then pays the acquirer who pays the merchant.)
  • the accounting systems receive a $0.50 rebate from the issuer and pays $0.45 to the merchant bank. These payments can be aggregated with other payments or rebate amounts, in a batched fashion.
  • the following is yet another exemplary transaction using an embodiment of the invention.
  • a customer visits a merchant location and selects $100 worth of items to purchase.
  • the merchant's representative, sales or check-out clerk informs the customer of their option to provide two or more payment instruments and (optionally) offers an incentive if two payment methods are supplied.
  • the customer may also provide an identity card, domicile addresses), contact information, etc.
  • the customer provides one or more payment methods.
  • the merchant or its representative determines whether the customer supplied two methods. If only one method was supplied, the transaction is completed in the conventional mamier using the payment instrument supplied. (e) Otherwise, the customer supplied two payment methods. In this example, the customer provided two different credit card numbers. The customer or the merchant's representative supplies the information concerning the payment instrument(s) to a merchant terminal (e.g., by swiping the credit cards). (f) The merchant verifies that both instruments are valid for the transaction
  • the transaction amount and payment method information are transmitted electronically to a transaction intermediary, such as an authorizing network processor, (h) The intermediary then transmits the payment instrument data to a transaction evaluator. Other data (such as the customer's address, information about what was purchased, etc.) can also be sent to help with processes such as transaction approval and risk management.
  • the transaction evaluator identifies the issuers of each payment method and identifies the business rules for processing each fransaction.
  • the transaction evaluator sends information about the transaction to each of the issuers or, if the issuers are not participating or are not connected, the data is sent to systems for estimating the economic utility for each payment method:
  • the transaction evaluator determines that the card belongs to a participating issuer that is able to perform real-time transaction analysis. The transaction evaluator therefore sends the transaction data to the issuer. If no suitable reply is received, then the transaction evaluator assumes that the default fransaction processing terms for the issuer apply. Otherwise, the issuer offers transaction terms or preferences. In this example, the credit card issuer offers a rebate of $0.50 for the transaction.
  • the transaction evaluator determines that the credit card issuer does not participate in the service. As a result, the transaction evaluator determines the normal terms for processing the fransaction. In this example if the merchant's discount rate is 3% for transactions on the credit card network, the net transaction processing terms conesponds to receiving $97.00 for the $ 100 transaction.
  • the transaction evaluator selects the first credit card as the prefened transaction processing method, since the first credit card has better economic utility, (k) The transaction evaluator notifies the transaction intermediary that the first payment option (i.e., the first credit card) was selected. (1) The transaction intermediary then notifies the merchant of the selection result, (m) The transaction evaluator also notifies either the fransaction intermediary or the merchant directly that payment will be $97 and should be received from the issuer and that the merchant will receive a rebate of $0.45.
  • the remaining $0.05 of the rebate is kept by the transaction evaluator, as shown below, (n)
  • the merchant notifies the customer which instrument was selected, obtains final customer authorization for the charge (if necessary), and processes the credit card payment to the credit card acquirer.
  • the accounting systems receive notification from the transaction evaluator that a $0.50 rebate is expected from the credit card issuer, of which $0.45 is owed to the merchant,
  • the merchant provides the goods/services ordered by the customer and the normal credit card transaction processing occurs.
  • the accounting systems receive a $0.50 rebate from the issuer and pay
  • the methods and systems described herein need not expose transaction participants to any new risks. That is, the fransaction evaluator's selection does not require any party to accept a transaction that it would normally reject. For example, payment methods which are not legitimately issued, which would not generally be acceptable to the merchant, which would not be voluntarily submitted by the customer, or which do not conform to all the cunent rules for processing, can be rejected by the merchant, transaction evaluator, issuer, or other participants.
  • the invention may actually serve to reduce payment risk for the merchant.
  • the transaction evaluator can favor payment methods with lower risk, thereby reducing the number of high-risk transactions.
  • transactions from customers who submit multiple payment methods are more likely to be paid if the merchant can collect using the secondary payment instrument if the first one fails. It is even possible to use one payment method to guarantee the other. For example, if a customer provides both a checking account and a credit card number and agrees that the secondary method may be charged if the primary one is rejected, the merchant can authorize (but not deposit) a transaction using the credit card then attempt to process a charge to the checking account. If the checking account transaction succeeds, the credit card authorization is not used.
  • an authorization for a payment using one payment instrument can be used to ensure payment in case a transaction using a second payment instrument proves unsuccessful.
  • the customer is preferably informed (e.g., to allow the customer to rectify the negative situation), and may be charged a fee (e.g., to reimburse the merchant for the additional processing costs).
  • the merchant can obtain authorizations from the issuers of all of them as a way to reduce payment risk. Having multiple payment methods can also help to reduce fraud losses.
  • the transaction evaluator and or issuer(s) can detect inconsistencies between the attributes of the respective payment methods or between order details and either payment method. For example, transactions can be rejected or subjected to additional scrutiny if the payment methods were issued to different people and/or different addresses, if an order's "bill to" address does not match either or both of the addresses conesponding to the payment methods, if the telephone numbers (or e-mail addresses, IP addresses, or other similar identifiers) of the customer do not match between the payment methods, etc.
  • one payment method may be difficult to verify (such as checks, where there is no widely-used real-time address verification system) but another (such as credit cards, for which address verification systems (ANS) are available) may support better authentication.
  • one payment method can be used to estimate the risk associated with another.
  • the issuer of the secondary (unverifiable) payment instrument is notified so that future use of the second instrument can also be suspended until further verification can be performed.
  • One additional benefit is that the quality of transactions performed using the invention can be significantly higher than transactions that do not. For example, customers who present a high risk of nonpayment because they are nearing bankruptcy will be less likely to have secondary payment methods available. In addition, people attempting to commit fraud will generally supply only one payment method because finding two conesponding fraudulent payment methods is more difficult, and presenting two fraudu- lent payment methods increases the probability of detection. Also, merchant incentives for offering two payment methods may be of little or no additional benefit to someone expecting to go bankrupt or to a criminal using a stolen payment instrument. Thus, in one embodiment of the invention, more aggressive risk management and fraud detection methods are applied to transactions for which only one payment method was provided.
  • the transaction evaluator (or a related system) can analyze the total risk characteristics of the combined payment methods and notify the merchant of the risk profile and/or adjust the merchant discount rate to reflect the risk.
  • the transaction evaluator (or a third party) can accept liability for the transaction, or offer to accept liability from the merchant according to predefined terms, or offer transaction-specific terms for accepting the liability. In the latter case, the merchant would make a decision based on its own knowledge of the transaction and risk tolerance whether to accept this guarantee.
  • the transaction evaluator (or a related system) can analyze the total risk characteristics of the combined payment methods and notify the payment instrument issuers of their risk profile (e.g. to help the issuers to formulate offers).
  • the fransaction evaluator (or a third party) can accept liability for the transaction, or offer to accept liability from the issuer according to predefined terms, or offer transaction-specific tenns for accepting the liability. In the latter case, the issuer would make a decision based on its own knowledge of the fransac- tion and risk tolerance whether to accept this guarantee.
  • the fransaction evaluator can similarly offer to accept risk from the merchant.
  • the cost/benefit for processing any given transaction may vary greatly between issuers and payment instrument types.
  • the issuer of a checking account may wish to discourage fransactions, since balances in low-interest checking accounts are profitable and there is generally little profit in processing checks or debits.
  • the issuer of the checking account might pay 5 cents to avoid having to process a $100 transaction.
  • a credit card issuer who receives 2 percent in interchange reimbursement fees and an average of 3 percent profit from interest on credit extended to the cardholder might pay 80 cents to receive a $100 fransaction.
  • an issuer may authorize and/or encourage the use of non-traditional or non-standardized payment processing channels.
  • the issuer of a checking account may wish to discourage the use of ACH transactions in favor of a debit card transaction since there is generally less profit in processing an ACH debit compared to a debit card fransaction.
  • the issuer of the checking account might offer to pay 75 cents plus accept complete liability for a transaction in order to re-route the debit through an alternate channel.
  • a credit card issuer wishing to establish their brand as the acceptance mark on the card could choose to forgo the 2 percent in interchange reimbursement fees and instead pay 50 cents to receive a transaction directly from the merchant (e.g., via an alternate processing network or directly over the Internet).
  • a variety of systems including those employing neural networks, are used for credit and fraud risk assessment in the credit card industry. Credit card authorization requests are routinely processed by these systems, which evaluate the risk associated with the account and determine whether to accept or decline the transaction.
  • these risk analysis systems are adapted to analyze both the risks and benefits of each transaction to produce quantitative estimates of the issuer "transaction benefit".
  • the transaction benefit is defined as the value, as represented as an amount of money, that is expected to be made (if positive) or lost (if negative) if the transaction is processed. For example, a transaction with no revenue opportunity that will cost an issuer $1 to process has a transaction benefit to the issuer of minus one dollar.
  • a more general measurement of the attractiveness of a transaction is its "economic utility," which represents the overall desirability of the transaction including both monetary (for example, and without limitation, fransaction benefit) and non-monetary characteristics. Examples of non-monetary characteristics might include, without limitation, free advertising, co-marketing anangements, contractual obligations, market positioning, building customer loyalty, commercial alliances, etc.
  • similar risk analysis systems are adapted and applied to analyze both the risks and benefits of each fransaction to produce quantitative estimates of the merchant transaction benefit. More generally, merchant economic utility can also be computed.
  • economic utility and/or transaction benefit computations are performed based on information including (without limitation) the following or a subset of the following:
  • Automated systems managing data required for such computations can be imple-mented using commercial databases (or extensions thereof) that are well-known to those skilled in the art.
  • a computer such as the Sun Enterprise Server 420R
  • an operating system such as Sun Solaris
  • relational database software such as Oracle 7
  • neural network software for performing issuer economic utility and/or transaction benefit computations.
  • larger fault-tolerant computing clusters connected to redundant computer networks may be employed.
  • dedicated microcontrollers running simple operating systems such as Nx Works 5.4 can also be employed and are well-suited to simple fransaction evaluators (such as those built into cash registers or simple merchant terminals).
  • one or more general purpose or specialized computers are attached to one or more computer networks for receiving information about transactions and transmitting results.
  • Such computer networks can be as simple as two computers connected using modems communicating over a telephone line or leased line, or can be complex associations of many computers connected by redundant data paths and routing systems.
  • the standard computer network provided by a payment network is employed, and the participating computers include issuer systems, merchant systems, and transaction evaluators.
  • the issuer of a payment instrument receives information about a transaction for which multiple payment methods are available.
  • the issuer estimates the economic utility then transmits to the transaction evaluator data describing the terms under which the issuer offers to process the fransaction. For example, these terms might specify a rebate or discount if the transaction is provided to the issuer.
  • the terms might specify a rebate if the transaction is routed to a party other than the issuer.
  • both (or multiple) issuers of payment instruments receive information about a transaction for which multiple payment methods are available.
  • Each issuer estimates the economic utility then transmits to the transaction evaluator data describing the terms under which they offer to process the transaction. Based on predefined rules, the transaction evaluator may then either accept an offer, decline all offers, or decide to re-submit the transaction back to the issuers (e.g., with information concerning the other offers).
  • Each issuer would then have the option to either modify the terms under which they offer to process the transaction or maintain their earlier offer.
  • the transaction selection process can be performed by conducting an auction among the payment issuers, where the transaction is awarded to the issuer with the most attractive offer (i.e., the offer with the greatest economic utility to the merchant and/or the party operating the transaction evaluator).
  • the amount of information provided to issuers can be determined by the transaction evaluator and/or merchant, based on business rales and contractual relationships with issuers. For example, the transaction evaluator might provide information to participating issuers about some payment methods (e.g., those from non-participating issuers), but provide no information about others.
  • the transaction evaluator must normally select one payment method.
  • the fransaction evaluator uses a list of prefened issuers, who receive preferential access to fransactions. For transactions where neither issuer is prefened, a random or arbitrary selection mechanism may be employed. For fransactions where one issuer is prefened and the other is not, the prefened issuer receives the transac- tion. For transactions where both issuers are prefened but the issuers are ranked differently, the transaction is assigned to the higher-ranking issuer. Finally, for transactions where both issuers are prefened and ranked identically, a random or arbitrary selection mechanism may be employed.
  • the transaction evaluator can also maintain a list of issuers who should be avoided whenever possible.
  • This transaction evaluator method- ology is advantageous because it is simple and straightforward to implement, requires relatively little memory or computational effort, requires no network connectivity with issuers during transactions, and can be performed at the merchant location (e.g., by a fransaction evaluator implemented in a credit card processing terminal or other point-of-sale terminal, a processor-driven cash register, a merchant web server, a merchant fransaction server, etc.) using tables that only need to be updated when issuer rankings change.
  • the transaction evaluator preferably adjusts for differences between the instruments. For example, the transaction evaluator can compensate for factors including, without limitation, payment network discount rates and other fees associated with each payment method, risks and/or guarantees associated with each payment method, settlement delays with each payment method, and the availability and cost of insurance for the fransaction. If connectivity with one or more issuers is available, the fransaction evaluator can obtain from each connected issuer a value conesponding to the issuer's economic utility for the transaction, as described previously. Alternatively, economic utility computations can be performed by the transaction evaluator using rules acceptable to the issuer, or the computation can be done by a third party on behalf of the issuer.
  • the economic utility estimates for the issuer may be adjusted by the issuer and/or the transaction evaluator to determine the amount the issuer is willing to pay (or must be paid) to process the transaction.
  • the transaction evaluator then adjusts the issuers' offers to compensate for differences between issuers and transaction processing mechanisms, such as:
  • issuers e.g., based on contractual obligations to provide a minimum transaction volume, lists of prefened or blacklisted issuers, etc.
  • thresholds that issuer offers must meet to receive preferential transaction routing e.g., based on contractual obligations to provide a minimum transaction volume, lists of prefened or blacklisted issuers, etc.
  • the fransaction evaluator selects one payment method for the transaction.
  • the transaction is then submitted for processing, typically by either the transaction evaluator or the merchant, and the customer is notified which payment method was selected.
  • the transaction evaluator and/or accounting systems Based on the issuer offer, fransaction data, and payment network rules, the transaction evaluator and/or accounting systems also compute the discount rates, rebates, fees, etc. expected, due, and/or paid for the fransaction, and may also keep records of transaction summaries or details.
  • the methods used to calculate rebates and other transaction details from issuer offers and merchant economic utility computations depend on the transaction and the embodiment.
  • the two payments have identical terms except that the issuer of the first account offers a 10-cent rebate to receive the transaction, while the issuer of the second account offers 7 cents to avoid processing the transaction.
  • possible outcomes include, without limitation, charging both issuers (for a total of 17 cents), charging 10 cents to only the first issuer, charging 7 cents to the first issuer (charging the amount of second-highest bid), charging 7 cents to the second issuer, charging 3 cents to the first issuer and 7 cents to the second issuer, etc.
  • charging both issuers for a total of 17 cents
  • charging 10 cents to only the first issuer charging 7 cents to the first issuer (charging the amount of second-highest bid)
  • charging 7 cents to the second issuer charging 3 cents to the first issuer and 7 cents to the second issuer, etc.
  • a second example consider a fransaction where two payments are offered with identical terms except that a first issuer offers a 10-cent discount on a given transaction while a second issuer offers a 20-cent discount.
  • possible outcomes include, without limitation, charging the second issuer 20 cents (the offer amount), 10 cents (the amount of second-highest offer), and charging 15 cents (the average of the offers).
  • a minimum offer amount (which can be fixed or computed from the transaction amount and details) may be required for an issuer to gain any preferential access to fransactions. Some issuers may also pay a monthly amount to receive preferential access to transactions. Note that the business relationships between the transaction evaluator and different issuers can be structured differently, although the transaction evaluator must still be able to select one payment instrument to process each transaction.
  • the transaction evaluator is implemented as a microprocessor connected to a network interface.
  • At least one memory which can be a volatile memory or a nonvolatile memory (such as battery-backed RAM, EEPROM, hard drive, etc.) is connected to the microprocessor and stores the data (data records) that include the tables and software (e.g., machine language instructions, interpretable code such as Java, etc.) implementing the transaction evaluator payment method selection processes.
  • the tables included in the data can, without limitation, identify issuers (e.g., by BIN), identify and/or ranking prefened issuers, identify and/or rank blacklisted issuers, define default process- ing terms for issuers, define network addresses for contacting issuers, include public/private keys (including root keys for certifying authorities) and other data required to for secure communications.
  • the software implemented in the memory can provide functionality including without limitation functions for identifying the issuer of a particular payment method, (optionally) contacting issuers to obtain transaction-specific process- ing terms, notifying merchant terminals which payment method was selected, interacting with accounting systems to ensure proper auditing and billing, and receiving and validating updates to transaction evaluator tables/software.
  • the network interface to the transaction evaluator can be any proprietary or standard interface including without limitation 10/100 megabit Ethernet, modem, leased line, Internet/web, local wireless, radio, digital satellite, keyboard, voice prompt, etc. Multiple network interfaces may be employed if necessary (e.g., if different parties in the transaction use different networks and/or protocols). If the transaction evaluator is responsible for depositing transactions (e.g., with acquirers), additional network interfaces may be required for this task. R Soliciting Multiple Payment Methods
  • a merchant's request (solicitation) for one or more secondary payment methods can require effort and/or a small (but non-negligible) cost to the merchant. For example, in a busy check-out line, the delay infroduced by requesting a secondary payment method may not be worthwhile to the merchant on a small transaction. In contrast, if the check-out line is not busy, asking for a secondary payment method could be worthwhile. Similarly, if communication costs are high, the cost of connecting to an independent fransaction evaluator may exceed the benefits for that fransaction. In other cases, the merchant may already know what transaction methods are supported by (or likely to be supported by) the customer and knows (for example) that it is unlikely that a secondary acceptable payment method will be available.
  • the first payment method offered by a customer may provide sufficiently favorable terms that asking for additional payment methods is unnecessary.
  • the merchant and/or transaction evaluator systems analyze the information available to determine whether to request multiple payment options. A request for multiple payment methods is only made if the estimated economic utility justifies it.
  • the merchant and/or transaction evaluator obtains and analyzes a first payment instrument then makes a decision as to whether to request a secondary payment instrument from the customer.
  • a request for additional payment methods is only made if the estimated economic utility justifies it.
  • the customer is provided with a unique identifying value at the conclusion of a first transaction, where this value identifies the payment method(s) used by or supported by the customer.
  • this information could be (without limitation) a web browser cookie, an identifier value provided on a sticker for placing on a bank card, an alphanumeric identifier, etc.
  • the customer can supply this identifier value to avoid having to re-supply information about all supported payment methods.
  • the identifier value could be used to index other relevant information, such as the customer's shipping address, frequent flier number (or other reward account), telephone number, network address, e-mail address, etc. Using an index of this type provides both convenience and security benefits, since account numbers and other transaction-related data do not need to be sent with every transaction.
  • payment verification is streamlined because conoborating information (such as addresses) is already stored.
  • the customer payment information (and other customer data) is indexed by a value supplied by the customer.
  • the transaction evaluator can use a tele- phone number, e-mail address, processor serial number, or other value associated with a customer to locate records from previous fransactions and determine additional customer information such as shipping addresses and alternate payment methods.
  • the customer can provide authorization to access a credit report or any other record from a (public or private) database operated by a third party. From this report or record, the transaction evaluator and/or merchant can identify payment methods supported by the customer, then either (a) select one of these methods, or (b) let the customer select a subset of methods from which the transaction evaluator will select a method.
  • Examples of such databases include without limitation credit reporting agencies and payment wallet operators. Note that this database does not need to be centrally operated.
  • the record can be carried in (without limitation) a customer's smart card, PDA (such as a Palm Pilot), cellular telephone, or personal computer.
  • the customer had previously stored the information concerning several different payment instruments in the memory of their personal computer or other personal device (such as a PDA).
  • the customer presents herself to a merchant and provides the merchant with the ability to access data in (or from) her device.
  • the merchant or the transaction evaluator then accesses data in (or from) the device, yielding information identifying multiple offered payment instruments, and selects a payment instrument to use to consummate the transaction.
  • the customer stores information concerning at least two different payment instruments in the memory of a database, such as a web-based wallet.
  • the customer presents herself to a merchant and offers access to the wallet record in response to the merchant's solicitation for multiple payment instruments.
  • the merchant or the transaction evaluator then accesses that record, selecting from among multiple appropriate payment instruments described in the wallet one to use when consummating the transaction.
  • the customer may simply authorize the merchant or fransaction evaluator to access their records at (or obtained from) a public credit reporting agency so that the transaction evaluator can select a payment instrument.
  • Embodiments of the invention can support any type or combination of appropriate payment instruments.
  • payment instruments that can be supported include, without limitation: (a) cash; (b) checks; (c) credit cards; (d) debit or ATM cards; (e) prepaid bank cards; (f) other payment or bank cards; (g) electronic cash; (h) loyalty points, script, barter units, or other unofficial payment schemes; (i) coupons; (j) gift certificates; (k) securities transfer; (1) equity instruments; (m) customer agreement to be billed later
  • a web-based system may require that one payment method be a credit card, but allow the other method to be a credit card, checking account, or cash-on-delivery (COD) shipment.
  • COD cash-on-delivery
  • An important aspect of the invention is that it allows payment instrument issuers to compete for desirable transactions. Such competition is most effective if the candidate payment instruments have different funding sources.
  • funding sources include bank accounts, credit lines, and bond guarantors.
  • two debit cards linked to the same account share a funding source and thus generally do not present a significant competitive opportunity because the same issuer will handle the transaction in either case.
  • two ATM (debit) cards linked to different accounts have different funding sources and present a much greater issuer opportunity. Note that the invention can be useful in the case where two funding sources from the same issuer are supplied by a customer.
  • an issuer who has provided to a low-risk customer both a debit card (whose funding source is a bank account) and a credit card (whose funding source is a line of credit) might prefer to direct transactions to the credit card to gain higher interchange fees and the possibility of collecting additional interest income.
  • Payment methods can be denominated in any cunency or combination of cunen- cies. (The use of dollars in examples is, of course, exemplary.) If multiple cunencies are involved, transaction evaluators can adjust decisions for factors such as exchange rates, market fluctuations, issuer/acquirer/merchant preferences, net positions (e.g., to minimize actual cunency conversions required), risk, etc.
  • the transaction evaluator can select which of two or more cunencies will be used when charging an amount to a customer.
  • the customer can be given the option of providing alternative forms of payments with each form in a different cunency (e.g., dollar-denominated credit card payments vs. a check in British pounds). If the merchant has a cunency preference, the fransaction evaluator can compensate in the selection process.
  • customer interaction e.g., requesting multiple payment methods, entering information about the payment methods into a computer terminal, etc.
  • customer interaction is performed via electronic communications with the customer. Examples of such communication includes without limitation voice telephony, modem, Internet, world wide web, electronic mail, leased line, video teleconference, facsimile, radio, wireless (e.g., between a PDA or cell phone and merchant terminal), etc.
  • customer communication is via telephony using an operator at a call center. The operator has a computer system configured to accept two or more payment methods offered by the customer.
  • the operator computer is connected via a computer network to a transaction evaluator, which selects one of the payment methods supplied.
  • the operator computer can also perform other tasks, including without limitation obtain- ing from a database information about products or services (e.g., airline schedules, computer system component descriptions, etc.), recording customer orders, order tracking, etc.
  • the transaction evaluator can be implemented in the operator computer.
  • the payment transaction, using the selected payment method, is then deposited via a transaction server.
  • the operator computer can be configured to prompt the operator (e.g., with scripted dialog) to request a secondary payment method only for transactions where the economic utility associated with having multiple payment methods justifies the time and expense of requesting and receiving additional payment information from the customer.
  • the call center may be implemented using computer-driven automated voice or data response units.
  • the user would be automatically solicited to provide information describing two or more payment instruments.
  • the user then provides payment instrument information to the call center systems (e.g. by speaking to a voice recognition unit, entering values using a touch tone telephone to a DTMF decoder, using a smart card enabled telephone to digitally send payment information, etc.).
  • the call center systems select a payment instrument, process the customer's payment, and fulfill the order using methods like those described herein for other merchant environments.
  • a request for multiple payment methods can occur before any payment methods are supplied or can occur after a first payment method has been supplied and analyzed. For example, if the first method has favorable processing terms, it may not be necessary to request additional methods.
  • the merchant can offer a reward (which can be identical to an incentive offered for providing multiple payment methods or can be a different reward) for completing an application form for additional payment methods.
  • the reward can be given to anyone who completes the application form, or can be contingent on properly completing the form, or can be contingent on actually receiving and/or using a new payment instrument.
  • Customers are likely to be receptive to this offer, since having additional payment methods will enable them to take advantage of the rewards offered by merchants using the present invention.
  • customers with only one payment method are likely to be under-served and therefore be interested in obtaining a secondary payment instrument.
  • this offer can benefit participating issuers (who gain new customers), merchants (who can receive rewards from issuers for signing up new customers), and the fransaction evaluator (who will potentially be able to make choices in future transactions by the customer).
  • the transaction evaluator can evaluate multiple processing options for one or more payment methods. For example, by maintaining relationships with multiple acquirers or fransaction processors, the transaction evaluator can route transactions to the parties who will profit most from the transactions and/or who offer the most favorable terms. Alternatively, desirable transactions can be routed to participating transaction processors (acquirers) and undesirable transactions can be routed to non-participating (or blacklisted) processors.
  • transactions can bypass conventional processing networks altogether by (for example) supplying transaction information to the issuer via an Internet connection.
  • the transaction evaluator (or a separate component responsible for processing transactions) can maintain routing tables and algorithms for identifying issuers of particular payment instruments, determining whether alternate transaction processing methods are available, determining a network address (such as an IP address) or other routing information conesponding to the issuer (or other party responsible for conducting transactions on behalf of the issuer), and conducting the transaction with the issuer (or other party).
  • the merchant can split a transaction among multiple payment methods. Such an approach could be advantageous in unusual cases where one or more payment methods cannot accommodate the entire fransaction amount or where multiple smaller transactions incur total fees that are lower than one larger transaction. Factors that must be considered when splitting transactions include payment network rules (that may prohibit the splitting of transactions) and the increased complexity of user interfaces and user interaction for refunds or dispute resolution.
  • any communications are conducted over the Internet (or any other possibly insecure network), these communications are preferably encrypted and authenticated. Protocols (such as SSL 3.0) and cryptographic algorithms for securing communications over untrusted networks are well known in the background art.
  • the merchant and/or transaction evaluator could provide access to instant credit granting services. These services may be traditional credit cards (e.g., with instant or rapid approval times) or alternative payment mechanisms such as private label credit accounts, non-credit payment cards, or other appropriate instruments.
  • the merchant and/or fransaction evaluator could analyze the payment option(s) offered and suggest to the customer alternative credit or payment instrument issuing services, such as those offering more favorable customer terms.
  • These services may be traditional credit cards (e.g., with instant approval times) or it may be alternative payment mechanisms, such as private label credit accounts, non-credit payment cards, etc.
  • information about customer offers and transactions can be supplied to issuers or third parties for marketing or advertising purposes (although such data sharing must be performed carefully to respect privacy policies and customer expectations of privacy).
  • issuer offers can include bids for additional information.
  • third parties can be provided with (or given the opportunity to bid on) transaction data. Before sharing any customer data, customers are preferably notified and given the opportunity to opt out.
  • the role of the fransaction evaluator can be performed by a third party or by the fransaction acquirer, the merchant, an issuer, a payment network, or any other party involved in (or potentially involved in) the transaction.
  • the transaction evaluator decision process can be (without limitation) performed by the merchant's cash register, credit card terminal (or other payment systems or point-of-sale terminal), independent computer systems, the merchant's web server, a computer or server connected to the merchant's web server or point-of-sale systems, by a machine connected via a computer network (or other electronic communica- tion means) to the merchant location, etc.
  • the fransaction evaluator can act as a payment gateway.
  • the fransaction evaluator can be responsible for processing the transaction using the selected payment method, collecting payment from the issuer (e.g., via a payment network), and paying the merchant.
  • the transaction evaluator can also handle the customer interface, for example by serving secure web pages to customers where customers can enter multiple payment methods.
  • the information supplied by customers identifying offered payment instruments does not need to include all information the customer has concerning the payment instrument.
  • a bank identification number typically the first digits of a credit card number
  • Obtaining less information can help to mitigate customer privacy concerns and/or reduce the amount of time per transac- tion.
  • customer and merchant are used generally to refer to the parties of a transaction.
  • the customer and merchant may be parties of any type, including, without limitation, individuals, businesses, organizations, etc.
  • the methods and systems described herein can be applied to purchases of all types, including without limitation mail-order, Internet, retail ("bricks and mortar"), vending machines, pre-authorized bill payments, subscriptions, business-to-business, business-to-consumer, consumer-to-consumer, etc.
  • Payments can be for any types of goods or services, including (without limitation) purchases and payments for computers, furniture, automobiles, jewelry, industrial equipment, real estate, airplane tickets, car rentals, hotels, tax debts, landscaping services, groceries, rent, etc.
  • exemplary embodiments have been described that include conditional decisions, it is anticipated that multiple transactions may be performed and that these multiple transactions may include processing using different conditional decisions.

Abstract

Customers often are able to use multiple payment methods for a transaction. In one embodiment of the invention, shown as Figure 3, a merchant obtains from a customer (330) and sends information about the payment methods (305) to a transaction evaluator, which sends information about the transaction to issuers of one or more of the payment methods (325). The issuers perform a cost/benefit analysis (330, 340) and respond with the terms under which they are willing to process the transaction (332, 335). Based on these terms, the transaction evaluator selects a payment method (350). The transaction is processed using the selected method. Accounting systems track payment information to ensure that each participant receives and pays the proper amounts for transactions, fees, rebates, etc. By enabling participating issuers to select favorable transactions and avoid unprofitable ones, issuer profitability can be improved. A portion of this profit can be returned to the merchant or customer.

Description

ROUTING METHODS AND SYSTEMS FOR INCREASING PAYMENT TRANSACTION VOLUME AND PROFITABILITY
FIELD OF THE INVENTION
The invention relates to methods and apparatus for the automated processing payment transactions.
BACKGROUND OF THE INVENTION
Introduction
Electronic payment processing systems play a critical role in modern economies by providing merchants and customers with efficient methods for conducting transactions. Leading customer-to-business payment systems include cash, credit cards, debit/ ATM cards, and checks. Banks and companies that offer payment instruments (issuers) can derive revenue from interest, fees, and penalties charged to customers and merchants. In general, credit cards and other payment methods with higher fees or customer interest rates are the most profitable for issuers. Banks issuing credit cards and other payment instruments can increase revenue by either increasing the number of income earning accounts or by increasing the income per existing account.
The traditional methods for adding new accounts include but are not limited to direct customer solicitations and portfolio acquisition. Both methods are costly, entail a level of risk associated with the unknown and considering the initial investment necessary, have limited capability in the short term to impact net profitability. Additionally the long-term success of either depends on the issuer's ongoing ability to manage these new accounts in a profitable manner.
Methods used for income enhancement for existing accounts include additional or increased account- management fees for new or existing services, penalty fees for improper account or instrument usage and interest rate manipulation. Although these methods can be effective, the acquisition process is highly competitive and fee increases may cause a loss of customer loyalty thereby reducing the instruments use and potentially loss of the customer account, both of which impact long term portfolio profitability. Additionally, if fees and interest rates appear to be excessive, regulators and card associations may intercede on behalf of consumers, and cap these charges.
An alternative or complementary way to increase revenue is to increase transaction volume on current credit card accounts. As a result, competing issuers are increasingly seeking ways to increase the use of, and loyalty to, their cards. Reward programs are one commonly used method for encouraging customers to use a particular issuer's cards. Examples of reward programs include frequent flier miles offered by some credit cards, the cash rebate offered by the Discover card, and the reward programs described in U.S. patent 5,025,372 to Burton et al., in U.S. patent 6,018,718 to Walker et al., and in U.S. Patent 6,009,412 to Storey. Although reward programs can attract customers and increase transaction volume, they are costly and relatively inefficient. As a result, issuers will provide rewards for some unprofitable transactions, fail to attract some transactions that would be profitable, and may cause some marginal accounts to default by encouraging over-use of credit.
Methods for applying merchant incentives (and other transaction modifiers) at the point of sale are also known, but these are generally used by merchants to encourage customer purchases. For example, U.S. patent 5,945,653 to Walker et al. describes a variety of methods whereby a merchant and a credit card issuer can implement systems to allow transaction-specific discounts. The Prio service operated by Infospace.com also allows merchants to provide discounts to customers. The cost of such discounts would generally need to be borne by the merchant. The issuer has little incentive to contribute to the incentive because the issuer derives relatively little benefit by discounting transactions that would occur anyway. (The possibility of increased transaction volume is not worth enough to justify a significant issuer-funded incentive.) Furthermore, establishing and maintaining the system such as the one described in '653 would be extremely expensive and complex, particularly if each merchant must negotiate and manage a separate relation- ship with each issuer and/or customer. Payment Systems
A variety of payment mechanisms are currently in widespread use. Conventional cash is straightforward, but both inconvenient for most fransactions and is irreplaceable if lost, stolen, or destroyed. Impulse purchases cannot be made using cash unless the customer happens to be carrying enough money to cover the cost of the transaction. Cash can also be counterfeited, either causing the accepting party to lose the transaction amount or devaluing the currency as a whole. Because transporting cash is risky and slow, it is difficult to use for Internet or mail-order purchases without relying on (expensive) cash-on-delivery options offered by some package delivery services. Although the costs associated with handling cash are relatively low, they are non-negligible due to the risks described above.
For customers, checks have several advantages over cash because they are non-negotiable before they are signed. (In most cases, the account holder is not liable if the signature on a check is forged.) In addition, they can be used for impulse purchases of any amount, provided that the customer has sufficient funds to cover the purchase. Fees for clearing checks are generally low, but merchants usually bear the loss if a check is disputed prior to account clearing, e.g., if the funds in the customer's account are insufficient to cover the payment. As a result, checks are generally not accepted for high-risk transactions. Compared to electronic fransactions, checks are slow to mail and clear, making them awkward for mail-order and Internet purchases.
Techniques for improving check-based transactions include check guarantee cards so that merchants can verify the validity of a check at the point of sale, electronic check clearing networks (such as NACHA), account or customer activity or black lists (such as Telecredit) and electronic methods for allowing check payments without exchange of a paper check. Use of paper instruments is incompatible with the non-face-to-face transaction as exemplified by mail or telephone order and Internet based fransactions. Although potentially important, the implementation of electronic check substitutions is not yet widespread, and the historical fear of account misuse may pose a significant obstacle to customer acceptance. Credit cards and many other kinds of payment cards have several important benefits over checks. With credit card fransactions where the card is present at the point of sale and the payment is authorized by the issuer, the merchant is usually guaranteed to be paid - even if the card is invalid or stolen or if the customer fails to pay his/her account balance. (The major exception is that the merchant is usually held completely liable for the transaction if there is no signature on the draft or a PIN was not used to consummate the payment:) Credit card numbers can be exchanged over the telephone, allowing almost instantaneous mail-order and Internet transactions. Credit card users are generally extended a credit line, allowing impulse purchases that exceed their available cash while providing issuers with a source of revenue from interest charged on outstanding balances.
Merchants accepting credit cards are charged a relatively high discount rate (typically between 1.6 and 4 percent), making credit cards more expensive to process than most other payment methods. This discount rate includes fees charged by the acquirer as well as the "interchange fee" which is predominately paid to the issuer. Figures la and lb diagram a typical credit card transaction. The authorization process occurs first and is shown in Figure la. The customer (100) provides the card or card number to a merchant (110), who submits a summary of the transaction as a request for authorization to an acquirer (120). The acquirer (120) submits the summary to the appropriate credit card payment network (130), which in turn either decides on the card issuer's behalf or submits the transaction to the issuer (140) for a decision. Possible decisions can include "approve", "decline" (with or without special conditions such as confiscating the card), or "refer" (meaning that the merchant must contact the card issuer or its agent for some reason, e.g. for additional cardholder verification steps or to inform the merchant of special processing requirements). If the card association authorizes on behalf of the issuer then the decision is routed back to the merchant and also to the issuer.
If the issuer decides on their own behalf then the decision is routed back through the network to the merchant.
If the transaction decision was to approve the transaction, then the transaction can be processed as shown in Figure lb. The merchant (110) completes the sale and submits the complete transaction to the acquirer (120). The acquirer (120) in turn submits the transaction to the credit card payment network (130), which in turn forwards the transac- tion to the issuer (140) who then posts the activity to the cardholder's account. In some networks, authorization and transaction processing are performed simultaneously using single set of messages.
The reimbursement process typically works in reverse, where the issuer (140) pays the payment network (130) the transaction amount less its portion of the interchange fee
(which in most cases is all of the interchange fee). The payment network (130) pays the acquirer (120) the fransaction amount minus the interchange fee and any fransaction fees it imposes. Finally, the acquirer pays the merchant (110) or the merchant bank the fransaction amount minus the merchant's discount (the discount encompassing each of the previously stated fees plus any additional fees added by the acquirer). Payments to participants can be "netted" to reduce the amount of money transfened in the system. For transactions involving multiple cunencies, cunency conversions can be applied by the card association or other participants.
Several methods for reducing costs for one or more of the participants in the payment transaction are known. Large merchants can negotiate reduced fees with acquiring banks, although the largest component of the discount rate - the interchange fee - is fixed by the credit card network and is therefore non-negotiable. It is also known that issuers can refund a portion of the merchant's discount rate or other fees so that merchants can offer discounts to customers who use the issuer's payment products. It is also known for merchants to offer discounts or refunds to customers who enroll for new payment methods, such as the merchant's own credit card or a co-branded credit card. Card-present transactions involve lower interchange fees, so merchants can try to ensure that the credit card is swiped with each transaction.
Discount Schemes
Although most credit card association rules require identical prices for cash and credit card transactions, some merchants offer discounts to customers for cash and other payment methods. Alternatively, some merchants impose surcharges on customers for paying with credit cards. Some payment cards include support for multiple payment networks. For example, a typical credit card or debit card might support a major credit brand (e.g., MasterCard) as well as one or more alternate networks (e.g., Cirrus, Star, Interlink, Plus, etc.). Merchants (such as grocery stores) may not support the major brand (e.g., because the discount rate is too high), but may be able to process transactions on lower-cost networks.
U.S. patent 6,014,635 to Harris et al. describes a credit card transaction discounting system that leverages existing credit card networks' authorization and transaction processing capabilities. The operator of the scheme issues identification numbers to customers, where the identification numbers comply with credit card number formatting standards and begin with a bank identification number (BIN) that can be processed through standard credit card networks. The customer's identification number is linked to a credit card belonging to the customer. When transactions are attempted on accounts with this BIN, the discount system uses the customer's account number to locate the customer's credit card number and performs a debit against that account. In addition, the system posts a credit to the customer for the discount (refund) amount. This approach has several serious limitations. First, there is no clear business model to fund the discounts, since the fransaction processing cost includes both the cost of processing the transaction through the credit card network plus the cost of the refund. Also, credit card association rules may prohibit the use of "dummy" card numbers. In addition, although card issuers are respon- sible for fraud on card-present fransactions, transactions using the discount scheme may be treated as card-not-present, leaving either the discount scheme operator or the merchant with higher fees and exposure to risks normally borne by the issuer.
In another known scheme, transactions using a particular payment instrument can be processed using any of several networks. For example, some cards issued for use on ATM networks support fransactions processed via a variety of payment networks, such as
Star, Plus, Cirrus, etc. Regardless of which network is chosen, the same ATM card is used and the same account (funding source) from the same issuer is debited. Multi-network ATMs use priority lists that rank the supported networks so that transactions will be processed using the most-favored (e.g., lowest-cost) compatible network. Risk Analysis Systems
Risk analysis systems are used by issuers and other participants in payment systems to evaluate the risk associated with a transaction given knowledge about the account and transaction. Transaction risk evaluation involves two levels. The first involves "underwriting characteristics," which are indicative of risk and "goodness" as determined by cardholder information (either for the cardholder as indicated by a credit or fraud reporting agency) or the account (as indicated by the type, cureent condition, historical evidence and unique characteristics associated with its use). The second group of characteristics is those associated with the transaction, such as merchant information and purchase characteristics.
Most risk management systems place a higher dependence on the cardholder and account information, since the issuer is often able to see only simple characteristics of the transaction. (At the point of authorizing a credit card transaction, the issuer usually does not know who the merchant is, may not know the merchant's type, and almost never knows what is being purchased.)
The evolution of automated risk control systems has gone through multiple stages. Early systems did little more than determine whether the account actually existed and if there was sufficient funding available to the cardholder.
More advanced systems were developed to analyze velocity characteristics (such number of transactions in a given period of time), transaction sizes, and whether transactions are for cash (or quasi-cash like money orders) as opposed to "regular" purchases. These filters were then combined with the cardholder characterization to produce static, numeric "scores" assigned to accounts and transactions.
Although these static scores are still the predominant method used in the most situations, more sophisticated scoring methods using expert systems and neural networks are also known. With neural networks, the scoring of transactions and accounts over a multivariate environment is possible. Although such scoring is generally not done in real-time, the scores are updated frequently with weighting changing with each analysis. Historically these systems were used to identify only the risk of a transaction. Recently a few issuers have begun experimenting with the converse, the value of a transaction. Still other issuers generate two measures. The first is the traditional risk indicator, but the second indicates potential value. A composite of this information is then used to determine if a requested transaction should be authorized. A built in impediment has limited the value of these new systems, however: once transaction is entered into the authorization networks, the issuer must provide a binary "yes" or "no" answer. Furthermore, card association rules and certain legal restrictions may prevent the issuer from rejecting transactions if the account is in good standing and there are funds available. As a result, methods for assessing the value of individual transactions cannot be completely utilized in many payment networks because high risk transaction must be accepted if the issuer has no specific evidence that the transaction is bad (such as a bad PIN).
Conclusion
Revenues and profits for issuers, acquirers, and electronic payment networks are often highly dependent on transaction volume. For issuers, methods of the background art (such as advertising to attract new customers and customer incentives to add transactions) are expensive, slow, and have unpredictable effectiveness. The invention introduces novel methods and apparatuses for increasing and/or controlling transaction flow, which may result in improved issuer profitability and/or decreased merchant costs.
GLOSSARY
The following terms have the meanings indicated with respect to the preferred embodiments described below. However, these meanings are exemplary rather than exhaustive, as other exemplary meanings for these terms will be understood from their plain meaning as commonly used in the field of financial transaction processing.
Acquirer: The term "acquirer" refers to the bank, company, or other organization that has the contractual and funds settlement relationship with merchants. Acquirers, either directly or via their agents, are responsible for processing transactions through to the issuer
(e.g., via an electronic payment network) and paying the merchant. Examples of acquirers include, without limitation, credit card acquirers and merchant banks that accept checks. The role of the acquirer may involve several different companies or organizations, such as banks, independent service organizations (ISO's), or processors.
Authorization: The term "authorization" refers to both the process and product of the process by which a merchant requests liability protection or other assurances that a payment instrument is valid before accepting a payment instrument to consummate a sale. In many cases, the assurance includes a guarantee by the payment instrument issuer to accept responsibility for payment of the transaction.
Automatic Teller Machine (ATM): The term "Automatic Teller Machine" (or "ATM") means a cash-dispensing machine. ATMs commonly use a customer's card to identify an account to debit and receive a PIN from the user to verify the cardholder identity before dispensing money.
Cash: Currency issued by a government, or private equivalents.
Chargeback: The term "chargeback" refers to both the process and product of the process that an issuer uses to debit part or all of the value a sales transaction from a merchant based on some violation of rules by the merchant or non-acceptance right exercised by the issuer.
Clearing: The term "clearing" refers to the process of providing accounting details sufficient for the purposes of debiting a cardholder account, and creating net funds positions among issuers, acquirers and merchants.
Computer: A software-controlled electronic data processing device, including without limitation microprocessor-driven circuits, personal computers, mainframe computers, and embedded systems.
Credit Card: A payment card that offers a revolving line of credit. Debit Card: A payment card that is linked to a funds-bearing account (e.g., a bank checking account) so that purchases are debited from the linked account.
Discount Rate: The difference between the amount of a transaction and the amount paid to the merchant. In the case of credit card transactions, the discount rate includes fees charged by the acquirer plus payment network and interchange fees. For example, a merchant might receive $98.50 from a $100 transaction, coreesponding to a discount rate of 1.5 percent.
Electronic payment network: An electronic network that connects issuers and acquirers and enables them to settle transactions. Many electronic payment networks "net" transac- tions so that each participant pays or receives an amount conesponding to the difference between their total debits and credits through the network for a given time period. Examples of electronic payment networks include VISA, MasterCard, STAR, Carte Bancaire, FedWire, and NACHA.
Issuer: The bank, company, or other organization that issues a payment instrument. The issuer often (but not always) maintains a relationship with the customer, providing account statements and other services. Examples of issuers include without limitation credit card issuers, companies or banks issuing electronic money, banks that provide checking accounts, and governments that issue cash.
Payment Card: Any general purpose payment card (including without limitation smart cards and/or magnetic stripe cards) that can be used by a customer to perform payment transactions. The term payment card shall be understood to include, without limitation, debit cards, cards that offer a revolving line of credit, and cards that do not offer a revolving line of credit. Payment cards can be issued by any organization, including without limitation banks, merchants, savings and loans, card associations, specialty travel and entertainment companies, etc.
Settlement: The funds transfer and disbursement enabled by the clearing record. SUMMARY
Customers often have access to multiple payment methods for any given transaction. For example, a customer might be able to pay for a purchase using cash, a check, a debit card, or a credit card. Cmrently the customer choice of payment methods is often arbitrary, since most merchants charge the same prices for all supported payment methods.
For any payment system, issuers process some transactions that are highly profitable and others that are unprofitable. Even in systems that provide issuers with the ability to evaluate and reject individual transactions, many transactions likely to be unprofitable must still be accepted because rejecting a transaction creates new costs and problems such as customer complaints, customer dissatisfaction, merchant dissatisfaction, potential legal issues, etc. As a result, even if a large fraction of transactions are unprofitable, issuers must accept virtually all transactions that enter their systems and must derive enough revenue from the profitable transactions to make their business profitable. For example, credit card transactions from customers who pay their balances each month generally lose money, but a few charges from individuals who carry balances at high interest rates can compensate for a relatively large number of unprofitable transactions. If issuers had better control over which transactions they processed, their profits would increase significantly. Consider, for example, an issuer's portfolio where 85 of 100 transactions lose $0.75, but 15 of 100 make a profit of $5. Overall, the portfolio makes an average profit of (15)($5) - (85)($0.75) = $11.25 per 100 transactions. Some of this transaction volume is from customers with two payment instruments (e.g., two credit cards or a credit card and a checkbook). If the issuer had more transaction-level control, profitability would be much greater because they would be able to obtain a larger share of profitable transactions and a smaller share of unprofitable transactions. For example, assume that K is the fraction of customers who are willing to offer two independent payment instruments. For these customers, unprofitable transactions can be sent to the secondary payment method, reducing the number of unprofitable transactions by a factor of (1 - K). In contrast, the issuer will be able to process profitable transactions where the issuer's payment instrument was either of the two offered. As a result, the number of profitable transactions increases by a factor of (1 + K). In the example above, the total profitability per 100 potential transactions increases from (15)($5) - (85)($0.75) = $11.25 to (15)(1 + K)($5) - (85)(1 - K)($0.75). For example, if the issuer can influence K=20% of the total transaction pool, the portfolio will generate 68 transactions that lose $0.75 and 18 transactions that each make $5, for a total profit of $39 - a 247 percent increase in profit. (Note that only 86 transactions are now performed because a larger number unprofitable transactions were avoided than profitable transactions were added.) Even with K=l%, issuer profits increase 12.3 percent!
The system's benefits do not depend on any particular ratio of profitable to unprofitable transactions. For example, consider a portfolio where 85 of 100 transactions make $0.75 but 15 of 100 lose $3.50. The initial profitability is $11.25 per 100 transactions. WithK-20%, the profitability becomes (85)(1 + K)($0.75) - (15)(1 - K)($3.50) = $34.50 on 114 transactions, a 207 percent increase in total profit.
The invention provides issuers with the ability to select or reject individual transactions prior to the customer committing to any specific payment scheme. A transaction evaluator obtains information about multiple payment methods supported by a customer and then, based on criteria such as profitability to the issuers, uses automated systems to select one of the supported payment methods for the transaction. Thus, the system can improve issuer profitability by directing profitable transactions to participating issuers while directing unprofitable transactions away from participating issuers or to alternate transaction methods that are more profitable or less costly. A portion of this increased profit can be provided back to the merchant or customer in the form of discounts, rebates, or other incentives.
It is therefore an object of one aspect of the invention to provide payment instrument issuers with the ability to increase their control over how many and which transac- tions they process.
It is also an object of another aspect of the invention to allow issuers to provide incentives to merchants and transaction processors in exchange for an increased number of desirable transactions and/or a reduced number of undesirable transactions.
It is also an object of another aspect of the invention to provide merchants with rebates or discounts in transaction processing fees for transactions processed over conven- tional payment networks, without forcing every merchant to negotiate discount terms with each issuer.
It is also an object of another aspect of the invention to provide merchants the ability to discretely identify and avoid higher risk transaction opportunities and thereby mitigate certain risk exposure.
It is also an object of another aspect of the invention to provide methods and systems for enabling and incentivizing merchants to obtain and process information about multiple payment instruments supported by their customers.
It is also an object of another aspect of the invention to allow customers access to multiple payment systems providing merchants the opportunity to increase sales to otherwise unavailable consumers.
It is also an object of another aspect of the invention to allow issuers to perform quantitative cost/benefit analysis on a per-transaction basis then use the results to influence payment processing decisions. It is also an object of another aspect of the invention to provide merchants with access to quantitative cost/benefit analysis on a per-transaction basis and the ability use the results to influence payment processing decisions.
It is also an object of another aspect of the invention to route transactions more efficiently and to provide issuers with additional information about the transactions they process.
Depending on the particular configurations needed for differing operational environments, various embodiments of the invention may combine various subsets (including possibly all) of the above aspects, thereby achieving various subsets of the above objects. However, the invention is not necessarily to be construed to require all of the above aspects or to achieve objects.
BRIEF DESCRIPTION OF THE FIGURES
FIGURES la and lb illustrate steps involved in processing of a credit card transaction of the background art. FIGURE 2 illustrates several transaction processing components in one embodiment of the invention.
FIGURE 3 illustrates processing steps performed in one embodiment of the invention.
DETAILED DESCRIPTION
A. Overview
Figure 2 shows the overall transaction flow in an exemplary transaction using an exemplary embodiment of the invention. Customer (200) has relationships with issuer 1 (210) and issuer 2 (215), issuers of two payment instruments. Each issuer may provide services to the customer, the payment network, and/or any other entity involved with the network, such as providing transaction and billing statements showing purchases, extending credit, and accepting risk if customer (200) fails to pay.
To make a payment to merchant (205), customer (200) provides information describing the payment method(s) that the customer can offer and is willing to allow the merchant to use for the fransaction. If the customer can only provide one payment method acceptable to the merchant or that can cover the entire purchase amount, the merchant processes the transaction with that method. Otherwise, the merchant receives information about two or more methods with the understanding from the customer that the transaction may be processed by either or any of these methods. In exchange for providing the merchant with increased billing flexibility, the merchant can optionally provide an incentive to the customer, such as a price discount, a rebate, free shipping, improved payment terms (such as a reduced interest rate), award points (such as airline frequent flier miles), or additional products or services. The nature and size of the customer incentive can be based on factors including without limitation the types of payment instruments offered, their issuers, transaction characteristics (amount, risk, cunency, merchant type or identity, date/time, etc.), transaction processing costs, issuer rebates, etc. Alternatively, the merchant may be able to impose a surcharge if only one payment method is supplied and/or based on the characteristics of the payment methods offered.
Merchant's point-of-sale systems provide information about the transaction methods to transaction evaluator (230) (described in Section E below and elsewhere), which is responsible for selecting one of the payment methods. Both the process of sending information to the transaction evaluator and the transaction evaluator's selection processes are preferably automatic. The selection result typically depends on the estimated cost/benefit characteristics (e.g., economic utility) for each payment method. For example, a payment instrument from an issuer that has a business relationship with the transac- tion evaluator (which can be operated by the merchant, the issuer, some combination of entities, or independently) to provide a 50-cent rebate per transaction would be chosen over a similar instrument from an issuer that does not. Similarly, a payment method with lower risk or fees (such as cash) could be selected over one with higher fees (such as check). The transaction evaluator can also route transactions that are likely to be unprofit- able (e.g., if the transaction is small or has a high credit loss or fraud risk, etc.) away from issuers who have appropriate business relationships with the merchant or the transaction evaluator.
In the embodiment shown in Figure 2, the transaction evaluator provides information about the transaction to the risk management systems operated by or on behalf of one or more issuers. These systems analyze the transaction characteristics to determine the cost or value of processing the transaction via each payment method. The issuer's risk management systems can be configured to perform a cost/benefit analysis of the transaction to estimate the expected the profit or loss associated with handling the fransaction. If an issuer does not have any business relationship with the fransaction evaluator or lacks real-time fransaction evaluation capability, then the cost/benefit analysis for processing that fransaction can be performed by the fransaction evaluator. Alternatively, for some transactions, the processing terms may be based on predetermined rules that can be applied by the transaction evaluator, the merchant, or any other party. In one embodiment of the invention, participating issuers offer a flat per-transaction rebate or incentive to the transaction evaluator in order to receive transactions. Alternatively, issuers can pay a monthly fee for preferential access to transactions. Alternatively or in addition, issuers can provide incentives to not receive (or receive fewer) transactions that are likely to be unprofitable. In a more advanced embodiment, issuers perform real-time analysis of the transaction data and offer variable-amount rebates (or discounts from transaction processing costs or other incentives) in order to receive profitable fransactions or to avoid unprofitable (or otherwise disadvantageous) ones. Methods for analyzing transactions to make routing decisions are described in more detail below with respect to Figure 3. Issuer incentives can be of any form. For example, in one embodiment, issuers provide incentives (such as free shipping and discounted interest rates) that merchants can pass along to customers. In another embodiment, issuers provide advertising and other non-monetary benefits to merchants.
Based on its analysis, the transaction evaluator chooses one transaction method and notifies merchant (205) which method to use when processing the payment transaction. The merchant notifies the customer which payment method will be used and submits the transaction for payment through the appropriate transaction processing mechanism. In the case of a typical credit card transaction, the merchant electronically submits the transaction
(including at least an identifier of the payment method and the amount) to a payment network via an acquirer (250) who makes a deposit in the merchant bank account (245) and may notify the merchant that the fransaction was deposited successfully. The acquirer forwards the fransaction to the payment network (255), which pays the acquirer. The payment network submits the transaction to the appropriate issuer (210 or 215), which pays the network. Finally, the selected issuer (210 or 215) bills the customer (200) for the transaction amount.
If one or both issuers agreed to pay any rebates (or other incentives) in connection with the chosen processing method, then accounting systems (235) track the re- bate/incentive amounts based on the transaction evaluator decision results. For example, the accounting systems can verify that issuers (210 and/or 215) pay the correct rebate amounts (240), ensure that the merchant's share of any rebate amounts are deposited in merchant bank account (245), and keep records so that transactions can be audited.
In most embodiments, the customer is notified at the end of the transaction (e.g., on a receipt, on a web page, via e-mail, by a telephone operator reading from a computer, by a display on a wireless PDA containing a payment wallet, etc.) which payment method was selected. If any customer actions remain that are required to explicitly authorize the payment (e.g., supplying cash or a check, signing a credit card receipt, signing a paper check, providing a digital signature, inserting a smart card, entering a PIN, pressing a confirmation button, providing the last digits of a credit card number, etc.), these steps are preferably (but not necessarily) performed after the selection is complete. (Alternatively, these steps could be performed for one or both methods prior to the final selection, but customer effort associated with the non-selected method would be wasted.) In a prefened embodiment, the transaction evaluator decision is configured to minimize the delay from when the customer first provides the payment methods to when the transaction is com- pleted. For example, the transaction processing can be automated using computer-based processing systems and electronic data networks. In one embodiment of the invention, the Internet is used to carry transaction processing messages.
In environments where communication is unreliable or expensive, any or all of the merchant terminal (205), transaction evaluator (230) and/or the issuer risk management systems (220 and 225) can be combined. The per-transaction cost/benefit analysis can thus be performed by the transaction evaluator, optionally using data records stored in a memory containing payment selection criteria. These records can include without limitation rules, software, algorithms, and/or data describing payment processing terms, prefened payment instrument types, prefened issuers, blacklisted instruments, blacklisted issuers, rules for computing fransaction processing terms for prefened issuers, rules for computing default transaction processing terms, network routing tables, processing issuer responses, handling failure modes, determining customer incentives, etc. These records can be generated by the transaction evaluator, the merchant or its agent, the card network, the issuers, etc. Record updates can be transmitted via the computer networks used to carry payment-related information, send via modem, entered manually, etc. and can be digitally signed or otherwise protected cryptographically to prevent tampering or enors.
R. Exemplary Transactions
This section describes the processing sequence involved in processing exemplary transactions. The following is an exemplary transaction using one embodiment of the invention. Note that the specific steps and their ordering can vary between transactions or embodiments.
(a) A customer visits a merchant's web site and selects $100 worth of items to purchase.
(b) The merchant's web site sends a form to the user's browser with two entries for payment instruments and offers the customer free shipping if two payment methods are supplied.
(c) The customer enters a credit card number as a first payment option and checking account details (including the bank routing number and account number) as a second payment option. In addition, the customer enters a shipping address, credit card billing address, e-mail address, and/or telephone number.
(d) The merchant's web site receives the payment method data and recognizes that two payment methods have been supplied.
(e) Payment information, including the transaction amount and payment method, is transmitted via a computer network (such as the Internet, or a leased line) from the web server to a transaction evaluator. Other data (such as the addresses, information about what was purchased, etc.) are also sent to help with processes such as transaction approval and risk management.
(f) The fransaction evaluator identifies the issuer of each payment method and identifies the business rules for processing each fransaction.
(g) The transaction evaluator analyzes each transaction: (i) For the credit card option, the transaction evaluator transmits information including the card number and the transaction amount ($100) to the credit card issuer. In this example, the credit card issuer offers a rebate of $1.20 for the transaction and additionally offers to take the risk if the transaction is fraudulent and or repudi- ated by the customer. If the merchant's (standard) discount rate is
3% for transactions on the credit card network, the net transaction processing terms conespond to receiving $98.20 for the $100 transaction (i.e., a net discount rate of 1.8%, not including amounts due to the transaction evaluator). (ii) For the electronic checking account debit option, in this example there happens to be no special business relationship between the issuing bank and the transaction evaluator. The standard terms for a checking account debit thus apply. In this example, this charge is assumed to be 50 cents, plus the merchant bears the risk if the account is over-drawn. Based on past history with the customer, transaction details, etc., the transaction evaluator and/or risk management systems to which it is connected assign a cost of $1.50 for this risk. The expected net transaction processing terms thus conespond to receiving $98.00 for the $100 transaction, (h) The transaction evaluator selects the credit card as the prefened transaction processing method, since the checking account transaction has an estimated average discount rate of 2 percent as opposed to 1.8 percent for the credit card transaction, (i) The fransaction evaluator notifies the merchant web server that the first payment option (i.e., the credit card) was selected and notifies the merchant that $97 should be received from the issuer and that the merchant will receive a rebate of $ 1.10. The remaining $0.10 of the rebate is kept by the transaction evaluator, as shown in steps (k) and (n) below, (j) The web server notifies the customer, obtains final customer authorization for the charge (if necessary), and processes the credit card payment to the credit card acquirer.
(k) The accounting systems receive notification from the transaction evaluator that a $ 1.20 rebate is expected from the credit card issuer, of which $ 1.10 is owed to the merchant. (1) The merchant provides the goods/services ordered by the customer. (m) The normal transaction processing occurs (i.e., the acquirer submits the transaction to the credit card network, which in turn submits the transaction to the issuer, which pays the network and bills the customer. The network then pays the acquirer who pays the merchant.) (n) The accounting systems receive a $1.20 rebate from the issuer and pay $ 1.10 to the merchant via the merchant's bank. These payments may be aggregated with other payments or rebate amounts in a batched fashion.
If the transaction was submitted to the accounting systems before the credit card network, the accounting systems may also need to receive confirmation that the transaction processing was successful. If the credit card transaction later fails to go through, business relationships may be structured so that no refunds are granted, in which case the transaction processing systems would, preferably automatically, notify the accounting systems so that no rebate would be expected. Note that the term "automatically" includes both processes that are fully automated as well as processes that involve a combination of automated (e.g., computer-implemented) steps and manual steps.
The following is another exemplary transaction using one embodiment of the invention. Note that in all examples, the specific steps and their ordering can vary between transactions or embodiments. The following fransaction sequence, which is shown in Figure 3, can be used by a variety of merchant types, including without limitation conventional retail, mail order, on-line/Internet, etc.
(a) A customer contacts a merchant and selects $100 worth of items to pur- chase.
(b) At step 300, the merchant's representative or automated system provides the customer with the opportunity to provide two payment instruments and (optionally) offers an incentive if two payment methods are supplied. In addition, the customer may also provide other data such as billing ad- dress(es), contact and shipping information, etc.
(c) At step 305, the customer provides one or more payment methods.
(d) At step 310, the merchant determines whether the customer supplied two methods. If only one method was supplied; the transaction is completed in the conventional manner at step 315 using the payment method supplied. (e) Otherwise, the customer supplied two payment methods. In this example, the customer provided two different credit card numbers.
(f) The merchant verifies that both instruments are valid for the transaction (e.g., by obtaining payment authorizations for each credit card). (g) The transaction amount and payment method information are transmitted electronically (including without limitation via a computer network such as the Internet, via a leased line, etc.) to a transaction evaluator. Other data (such as the customer's address, information about what was purchased, the customer's photograph, etc.) can also be sent to help with processes such as transaction approval and risk management.
(h) At step 320, the transaction evaluator identifies the issuers of each payment method and identifies the business rules for processing each transaction, (i) At step 325, the transaction evaluator sends information about the transaction to each of the issuers or, if the issuers are not participating or are not connected, the data is sent to systems for computing the transaction benefit
(or, more generally, economic utility, as described in Section D) for each payment method:
(i) For the first payment method, the transaction evaluator determines that the card belongs to a participating issuer that is able to perform real-time transaction analysis. The transaction evaluator therefore sends the transaction data to the issuer at step 330. If no suitable reply is received, then the transaction evaluator assumes at step 332 that the default transaction processing terms defined by the payment network apply. Otherwise, at step 335, the issuer offers transaction terms or preferences. In this example, the credit card issuer offers a rebate of $0.50 for the fransaction. If the merchant's discount rate is 3% for transactions on the credit card network, the net transaction processing terms conesponds to receiving $97.50 for the $100 transaction. (ii) For the second credit card transaction, the transaction evaluator determines in this example at step 340 that the credit card issuer does not participate in the service. As a result, at step 345, the transaction evaluator determines the normal terms for processing the transaction. In this example if the merchant's discount rate is 3% for transactions on the credit card network, the net transaction processing terms conesponds to receiving $97.00 for the $100 fransaction. (iii) At step 350, the transaction evaluator selects the first credit card as the prefened fransaction processing method, since the first credit card was with a participating issuer and offers the greatest transac- . tion benefit.
(j) At step 360, the fransaction evaluator notifies the merchant that the first payment option (i.e., the credit card) was selected and notifies the merchant that $97 should be received from the issuer and that the merchant will receive a rebate of $0.45. The remaining $0.05 of the rebate is kept by the transaction evaluator, as shown in steps (1) and (o) below.
(k) At step 370, the merchant notifies the customer which instrument was selected, obtains final customer authorization for the charge (if necessary), and processes the credit card payment to the credit card acquirer using the authorization previously obtained using the selected credit card. The other (unused) authorization is released.
(1) The accounting systems receive notification from the transaction evaluator that a $0.50 rebate is expected from the credit card issuer, of which $0.45 is owed to the merchant, (m) The merchant provides the goods/services ordered by the customer. (n) The normal transaction processing occurs (i.e., the acquirer submits the transaction to the credit card network, which in turn submits the fransaction to the issuer, which pays the network and bills the customer. The network then pays the acquirer who pays the merchant.) (o) The accounting systems receive a $0.50 rebate from the issuer and pays $0.45 to the merchant bank. These payments can be aggregated with other payments or rebate amounts, in a batched fashion. The following is yet another exemplary transaction using an embodiment of the invention.
(a) A customer visits a merchant location and selects $100 worth of items to purchase. (b) The merchant's representative, sales or check-out clerk informs the customer of their option to provide two or more payment instruments and (optionally) offers an incentive if two payment methods are supplied. In addition, the customer may also provide an identity card, domicile addresses), contact information, etc. (c) The customer provides one or more payment methods.
(d) The merchant or its representative determines whether the customer supplied two methods. If only one method was supplied, the transaction is completed in the conventional mamier using the payment instrument supplied. (e) Otherwise, the customer supplied two payment methods. In this example, the customer provided two different credit card numbers. The customer or the merchant's representative supplies the information concerning the payment instrument(s) to a merchant terminal (e.g., by swiping the credit cards). (f) The merchant verifies that both instruments are valid for the transaction
(e.g., by obtaining payment authorizations for each credit card) and optionally verifies that the instruments have different funding sources and/or issuers, (g) The transaction amount and payment method information are transmitted electronically to a transaction intermediary, such as an authorizing network processor, (h) The intermediary then transmits the payment instrument data to a transaction evaluator. Other data (such as the customer's address, information about what was purchased, etc.) can also be sent to help with processes such as transaction approval and risk management. (i) The transaction evaluator identifies the issuers of each payment method and identifies the business rules for processing each fransaction. (j) The transaction evaluator sends information about the transaction to each of the issuers or, if the issuers are not participating or are not connected, the data is sent to systems for estimating the economic utility for each payment method:
(i) For the first payment method, the transaction evaluator determines that the card belongs to a participating issuer that is able to perform real-time transaction analysis. The transaction evaluator therefore sends the transaction data to the issuer. If no suitable reply is received, then the transaction evaluator assumes that the default fransaction processing terms for the issuer apply. Otherwise, the issuer offers transaction terms or preferences. In this example, the credit card issuer offers a rebate of $0.50 for the transaction. If the merchant's discount rate is 3% for transactions on the credit card network, the net transaction processing terms conesponds to receiving $97.50 for the $100 transaction (not including any extra fees charged by the transaction evaluator, etc.) (ii) For the second credit card transaction, the transaction evaluator determines that the credit card issuer does not participate in the service. As a result, the transaction evaluator determines the normal terms for processing the fransaction. In this example if the merchant's discount rate is 3% for transactions on the credit card network, the net transaction processing terms conesponds to receiving $97.00 for the $ 100 transaction.
(iii) The transaction evaluator selects the first credit card as the prefened transaction processing method, since the first credit card has better economic utility, (k) The transaction evaluator notifies the transaction intermediary that the first payment option (i.e., the first credit card) was selected. (1) The transaction intermediary then notifies the merchant of the selection result, (m) The transaction evaluator also notifies either the fransaction intermediary or the merchant directly that payment will be $97 and should be received from the issuer and that the merchant will receive a rebate of $0.45. The remaining $0.05 of the rebate is kept by the transaction evaluator, as shown below, (n) The merchant notifies the customer which instrument was selected, obtains final customer authorization for the charge (if necessary), and processes the credit card payment to the credit card acquirer. (o) The accounting systems receive notification from the transaction evaluator that a $0.50 rebate is expected from the credit card issuer, of which $0.45 is owed to the merchant, (p) The merchant provides the goods/services ordered by the customer and the normal credit card transaction processing occurs. (q) The accounting systems receive a $0.50 rebate from the issuer and pay
$0.45 to the merchant via the merchant bank.
Note that the order in which the steps are performed in the examples above can vary between embodiments and transactions, and that many steps can be perfonned in parallel. For example and without limitation, in the payment transactions above, the accounting system operations, rebate processing, and order fulfillment could all occur simultaneously. In addition, some steps are also optional. For example and without limitation, the steps of obtaining and releasing authorizations could be omitted. In general, then, the particular order and selection of steps for any particular implementation will depend on the particular requirements of the operational environment in which the implementation is deployed.
C Reducing Merchant Risk
The methods and systems described herein need not expose transaction participants to any new risks. That is, the fransaction evaluator's selection does not require any party to accept a transaction that it would normally reject. For example, payment methods which are not legitimately issued, which would not generally be acceptable to the merchant, which would not be voluntarily submitted by the customer, or which do not conform to all the cunent rules for processing, can be rejected by the merchant, transaction evaluator, issuer, or other participants.
The invention may actually serve to reduce payment risk for the merchant. The transaction evaluator can favor payment methods with lower risk, thereby reducing the number of high-risk transactions. In addition, transactions from customers who submit multiple payment methods are more likely to be paid if the merchant can collect using the secondary payment instrument if the first one fails. It is even possible to use one payment method to guarantee the other. For example, if a customer provides both a checking account and a credit card number and agrees that the secondary method may be charged if the primary one is rejected, the merchant can authorize (but not deposit) a transaction using the credit card then attempt to process a charge to the checking account. If the checking account transaction succeeds, the credit card authorization is not used. If the checking account transaction fails, however, then a charge can be issued against the credit card using the authorization. Thus, according to the invention, an authorization for a payment using one payment instrument can be used to ensure payment in case a transaction using a second payment instrument proves unsuccessful. In the case where the "backup" authorization is required, the customer is preferably informed (e.g., to allow the customer to rectify the negative situation), and may be charged a fee (e.g., to reimburse the merchant for the additional processing costs). Thus, if multiple payment methods that can be authorized are received, the merchant can obtain authorizations from the issuers of all of them as a way to reduce payment risk. Having multiple payment methods can also help to reduce fraud losses. If someone trying to commit fraud provides multiple invalid payment methods, the transaction evaluator and or issuer(s) can detect inconsistencies between the attributes of the respective payment methods or between order details and either payment method. For example, transactions can be rejected or subjected to additional scrutiny if the payment methods were issued to different people and/or different addresses, if an order's "bill to" address does not match either or both of the addresses conesponding to the payment methods, if the telephone numbers (or e-mail addresses, IP addresses, or other similar identifiers) of the customer do not match between the payment methods, etc. In some cases, one payment method may be difficult to verify (such as checks, where there is no widely-used real-time address verification system) but another (such as credit cards, for which address verification systems (ANS) are available) may support better authentication.
If one payment method is successfully validated, confidence in the other can be increased. Similarly, if one method is shown to be invalid, the entire fransaction can be rejected or analyzed more carefully. Thus, one payment method can be used to estimate the risk associated with another. In one embodiment, if the first payment method appears to be fraudulent or stolen, or is rejected or otherwise indicates a high probability of loss due to fraud or other reasons, the issuer of the secondary (unverifiable) payment instrument is notified so that future use of the second instrument can also be suspended until further verification can be performed.
One additional benefit is that the quality of transactions performed using the invention can be significantly higher than transactions that do not. For example, customers who present a high risk of nonpayment because they are nearing bankruptcy will be less likely to have secondary payment methods available. In addition, people attempting to commit fraud will generally supply only one payment method because finding two conesponding fraudulent payment methods is more difficult, and presenting two fraudu- lent payment methods increases the probability of detection. Also, merchant incentives for offering two payment methods may be of little or no additional benefit to someone expecting to go bankrupt or to a criminal using a stolen payment instrument. Thus, in one embodiment of the invention, more aggressive risk management and fraud detection methods are applied to transactions for which only one payment method was provided. In another embodiment of the invention, the transaction evaluator (or a related system) can analyze the total risk characteristics of the combined payment methods and notify the merchant of the risk profile and/or adjust the merchant discount rate to reflect the risk. Alternatively, the transaction evaluator (or a third party) can accept liability for the transaction, or offer to accept liability from the merchant according to predefined terms, or offer transaction-specific terms for accepting the liability. In the latter case, the merchant would make a decision based on its own knowledge of the transaction and risk tolerance whether to accept this guarantee.
In another embodiment of the invention, the transaction evaluator (or a related system) can analyze the total risk characteristics of the combined payment methods and notify the payment instrument issuers of their risk profile (e.g. to help the issuers to formulate offers). Alternatively, the fransaction evaluator (or a third party) can accept liability for the transaction, or offer to accept liability from the issuer according to predefined terms, or offer transaction-specific tenns for accepting the liability. In the latter case, the issuer would make a decision based on its own knowledge of the fransac- tion and risk tolerance whether to accept this guarantee. The fransaction evaluator can similarly offer to accept risk from the merchant.
E Transaction Cost/Benefit Analysis
The cost/benefit for processing any given transaction may vary greatly between issuers and payment instrument types. For example, the issuer of a checking account may wish to discourage fransactions, since balances in low-interest checking accounts are profitable and there is generally little profit in processing checks or debits. As a result, the issuer of the checking account might pay 5 cents to avoid having to process a $100 transaction. Alternatively, a credit card issuer who receives 2 percent in interchange reimbursement fees and an average of 3 percent profit from interest on credit extended to the cardholder might pay 80 cents to receive a $100 fransaction.
Additionally, there may be several ways to process transactions between a merchant and an issuer. For example, an issuer may authorize and/or encourage the use of non-traditional or non-standardized payment processing channels. For example, the issuer of a checking account may wish to discourage the use of ACH transactions in favor of a debit card transaction since there is generally less profit in processing an ACH debit compared to a debit card fransaction. As a result, the issuer of the checking account might offer to pay 75 cents plus accept complete liability for a transaction in order to re-route the debit through an alternate channel. Alternatively, a credit card issuer wishing to establish their brand as the acceptance mark on the card could choose to forgo the 2 percent in interchange reimbursement fees and instead pay 50 cents to receive a transaction directly from the merchant (e.g., via an alternate processing network or directly over the Internet).
A variety of systems, including those employing neural networks, are used for credit and fraud risk assessment in the credit card industry. Credit card authorization requests are routinely processed by these systems, which evaluate the risk associated with the account and determine whether to accept or decline the transaction.
In one embodiment of the invention, these risk analysis systems are adapted to analyze both the risks and benefits of each transaction to produce quantitative estimates of the issuer "transaction benefit". The transaction benefit is defined as the value, as represented as an amount of money, that is expected to be made (if positive) or lost (if negative) if the transaction is processed. For example, a transaction with no revenue opportunity that will cost an issuer $1 to process has a transaction benefit to the issuer of minus one dollar. A more general measurement of the attractiveness of a transaction is its "economic utility," which represents the overall desirability of the transaction including both monetary (for example, and without limitation, fransaction benefit) and non-monetary characteristics. Examples of non-monetary characteristics might include, without limitation, free advertising, co-marketing anangements, contractual obligations, market positioning, building customer loyalty, commercial alliances, etc.
In one embodiment of the invention, similar risk analysis systems are adapted and applied to analyze both the risks and benefits of each fransaction to produce quantitative estimates of the merchant transaction benefit. More generally, merchant economic utility can also be computed.
In one embodiment of the invention, economic utility and/or transaction benefit computations are performed based on information including (without limitation) the following or a subset of the following:
(a) the fransaction date and time;
(b) the geographical location of the transaction and past transactions;
(c) the amount of the transaction;
(d) the cunency of the transaction; (e) the merchant category and general type of goods/services bought;
(f) the specific goods and services purchased (if known); (g) the merchant's identity and location and/or risk profile (if known); (h) the customer's transaction history;
(i) the customer's billing address(es) and other known addresses; (j) the customer's telephone number, e-mail, and/or network address; (k) other verifying information or identification presented by the customer;
(1) the customer's payment history and creditworthiness; (m) the customer's available account balance; (n) the type of payment instrument involved; (o) the customer's interest rate; (p) the customer's tendency to carry interest-bearing balances;
(q) the transaction's likelihood of causing the customer to default on existing debt; (r) whether the fransaction will trigger fee-generating conditions (over-limit, etc.); (s) anticipated customer service costs associated with the transaction;
(t) the likelihood of a charge-back or repudiation of the transaction; (u) costs of billing the customer (e.g., if this is the first/only fransaction in a billing cycle); (v) the value of the overall customer relationship; (w) benefits of having the customer's account active (e.g., for accounts that are inactive); (x) alternate payment methods (if any) offered or available; (y) the issuer and/or merchant financial objectives and risk tolerance.
Automated systems managing data required for such computations can be imple- mented using commercial databases (or extensions thereof) that are well-known to those skilled in the art. For example, a computer (such as the Sun Enterprise Server 420R) running an operating system (such as Sun Solaris) and relational database software (such as Oracle 7) may be employed with neural network software for performing issuer economic utility and/or transaction benefit computations. For automated transaction evaluators that require substantial computation power and must process a substantial volume of transactions, larger fault-tolerant computing clusters connected to redundant computer networks may be employed. At the other extreme, dedicated microcontrollers running simple operating systems such as Nx Works 5.4 can also be employed and are well-suited to simple fransaction evaluators (such as those built into cash registers or simple merchant terminals).
Both transaction benefit and economic utility computations are preferably performed automatically. In one embodiment, one or more general purpose or specialized computers (which include without limitation processors, memories, I/O interfaces, etc.) are attached to one or more computer networks for receiving information about transactions and transmitting results. Such computer networks can be as simple as two computers connected using modems communicating over a telephone line or leased line, or can be complex associations of many computers connected by redundant data paths and routing systems. In one embodiment, the standard computer network provided by a payment network is employed, and the participating computers include issuer systems, merchant systems, and transaction evaluators.
In one embodiment of the invention, the issuer of a payment instrument receives information about a transaction for which multiple payment methods are available. The issuer estimates the economic utility then transmits to the transaction evaluator data describing the terms under which the issuer offers to process the fransaction. For example, these terms might specify a rebate or discount if the transaction is provided to the issuer.
If the transaction is undesirable, the terms might specify a rebate if the transaction is routed to a party other than the issuer.
In one embodiment of the invention, both (or multiple) issuers of payment instruments receive information about a transaction for which multiple payment methods are available. Each issuer estimates the economic utility then transmits to the transaction evaluator data describing the terms under which they offer to process the transaction. Based on predefined rules, the transaction evaluator may then either accept an offer, decline all offers, or decide to re-submit the transaction back to the issuers (e.g., with information concerning the other offers). Each issuer would then have the option to either modify the terms under which they offer to process the transaction or maintain their earlier offer. Thus, the transaction selection process can be performed by conducting an auction among the payment issuers, where the transaction is awarded to the issuer with the most attractive offer (i.e., the offer with the greatest economic utility to the merchant and/or the party operating the transaction evaluator).
In general, the amount of information provided to issuers can be determined by the transaction evaluator and/or merchant, based on business rales and contractual relationships with issuers. For example, the transaction evaluator might provide information to participating issuers about some payment methods (e.g., those from non-participating issuers), but provide no information about others.
R Transaction Evaluator Rules
The transaction evaluator must normally select one payment method. In one embodiment of the invention, the fransaction evaluator uses a list of prefened issuers, who receive preferential access to fransactions. For transactions where neither issuer is prefened, a random or arbitrary selection mechanism may be employed. For fransactions where one issuer is prefened and the other is not, the prefened issuer receives the transac- tion. For transactions where both issuers are prefened but the issuers are ranked differently, the transaction is assigned to the higher-ranking issuer. Finally, for transactions where both issuers are prefened and ranked identically, a random or arbitrary selection mechanism may be employed. If desired, the transaction evaluator can also maintain a list of issuers who should be avoided whenever possible. This transaction evaluator method- ology is advantageous because it is simple and straightforward to implement, requires relatively little memory or computational effort, requires no network connectivity with issuers during transactions, and can be performed at the merchant location (e.g., by a fransaction evaluator implemented in a credit card processing terminal or other point-of-sale terminal, a processor-driven cash register, a merchant web server, a merchant fransaction server, etc.) using tables that only need to be updated when issuer rankings change.
In embodiments where payments using different types of payment instruments are compared, the transaction evaluator preferably adjusts for differences between the instruments. For example, the transaction evaluator can compensate for factors including, without limitation, payment network discount rates and other fees associated with each payment method, risks and/or guarantees associated with each payment method, settlement delays with each payment method, and the availability and cost of insurance for the fransaction. If connectivity with one or more issuers is available, the fransaction evaluator can obtain from each connected issuer a value conesponding to the issuer's economic utility for the transaction, as described previously. Alternatively, economic utility computations can be performed by the transaction evaluator using rules acceptable to the issuer, or the computation can be done by a third party on behalf of the issuer. (More generally, any party to the transaction can outsource its actions by authorizing a third party or computer to make decisions on its behalf.) The economic utility estimates for the issuer may be adjusted by the issuer and/or the transaction evaluator to determine the amount the issuer is willing to pay (or must be paid) to process the transaction.
The transaction evaluator then adjusts the issuers' offers to compensate for differences between issuers and transaction processing mechanisms, such as:
(a) discount rates, processing charges, and fees associated with each transaction;
(b) settlement network or channel options;
(c) settlement times for each transaction; (d) differences in risk with each fransaction;
(e) the availability and/or cost of insurance covering the transaction;
(f) special business relationships with issuers (e.g., based on contractual obligations to provide a minimum transaction volume, lists of prefened or blacklisted issuers, etc.); and (g) thresholds that issuer offers must meet to receive preferential transaction routing.
Based on the results from the above analysis, the fransaction evaluator selects one payment method for the transaction. The transaction is then submitted for processing, typically by either the transaction evaluator or the merchant, and the customer is notified which payment method was selected. Based on the issuer offer, fransaction data, and payment network rules, the transaction evaluator and/or accounting systems also compute the discount rates, rebates, fees, etc. expected, due, and/or paid for the fransaction, and may also keep records of transaction summaries or details.
The methods used to calculate rebates and other transaction details from issuer offers and merchant economic utility computations depend on the transaction and the embodiment. As a first example, consider a transaction where two different checking account transactions were offered. The two payments have identical terms except that the issuer of the first account offers a 10-cent rebate to receive the transaction, while the issuer of the second account offers 7 cents to avoid processing the transaction. Depending on the transaction evaluator embodiment and the business rules with the issuers, possible outcomes include, without limitation, charging both issuers (for a total of 17 cents), charging 10 cents to only the first issuer, charging 7 cents to the first issuer (charging the amount of second-highest bid), charging 7 cents to the second issuer, charging 3 cents to the first issuer and 7 cents to the second issuer, etc. As a second example, consider a fransaction where two payments are offered with identical terms except that a first issuer offers a 10-cent discount on a given transaction while a second issuer offers a 20-cent discount. Depending on the fransaction evaluator embodiment and the business rules with the issuers, possible outcomes include, without limitation, charging the second issuer 20 cents (the offer amount), 10 cents (the amount of second-highest offer), and charging 15 cents (the average of the offers).
As a third example, consider the previous example only where the second transaction now includes a nonpayment risk that the fransaction evaluator estimates should cost 10 cents to insure (or self-insure). Although the two transaction methods are different, it would be appropriate to charge the issuer who receives the transaction the amount of their offer, although other rules could be applied as well.
One factor to consider when establishing selection and accounting rules is that always charging the highest offered amount encourages participants to make the smallest possible offers to have a chance of receiving the transaction, even if the transaction benefit is relatively high. In contrast, rules that base the final cost on the second offer encourage offers of the full fransaction benefit. Thus, the final fransaction terms can depend on the amounts of all offers received. Alternatively or in addition, a minimum offer amount (which can be fixed or computed from the transaction amount and details) may be required for an issuer to gain any preferential access to fransactions. Some issuers may also pay a monthly amount to receive preferential access to transactions. Note that the business relationships between the transaction evaluator and different issuers can be structured differently, although the transaction evaluator must still be able to select one payment instrument to process each transaction.
In one embodiment, the transaction evaluator is implemented as a microprocessor connected to a network interface. At least one memory, which can be a volatile memory or a nonvolatile memory (such as battery-backed RAM, EEPROM, hard drive, etc.) is connected to the microprocessor and stores the data (data records) that include the tables and software (e.g., machine language instructions, interpretable code such as Java, etc.) implementing the transaction evaluator payment method selection processes. The tables included in the data can, without limitation, identify issuers (e.g., by BIN), identify and/or ranking prefened issuers, identify and/or rank blacklisted issuers, define default process- ing terms for issuers, define network addresses for contacting issuers, include public/private keys (including root keys for certifying authorities) and other data required to for secure communications. The software implemented in the memory can provide functionality including without limitation functions for identifying the issuer of a particular payment method, (optionally) contacting issuers to obtain transaction-specific process- ing terms, notifying merchant terminals which payment method was selected, interacting with accounting systems to ensure proper auditing and billing, and receiving and validating updates to transaction evaluator tables/software. The network interface to the transaction evaluator can be any proprietary or standard interface including without limitation 10/100 megabit Ethernet, modem, leased line, Internet/web, local wireless, radio, digital satellite, keyboard, voice prompt, etc. Multiple network interfaces may be employed if necessary (e.g., if different parties in the transaction use different networks and/or protocols). If the transaction evaluator is responsible for depositing transactions (e.g., with acquirers), additional network interfaces may be required for this task. R Soliciting Multiple Payment Methods
A merchant's request (solicitation) for one or more secondary payment methods can require effort and/or a small (but non-negligible) cost to the merchant. For example, in a busy check-out line, the delay infroduced by requesting a secondary payment method may not be worthwhile to the merchant on a small transaction. In contrast, if the check-out line is not busy, asking for a secondary payment method could be worthwhile. Similarly, if communication costs are high, the cost of connecting to an independent fransaction evaluator may exceed the benefits for that fransaction. In other cases, the merchant may already know what transaction methods are supported by (or likely to be supported by) the customer and knows (for example) that it is unlikely that a secondary acceptable payment method will be available. In still other cases, the first payment method offered by a customer may provide sufficiently favorable terms that asking for additional payment methods is unnecessary. As a result, in one embodiment of the invention, the merchant and/or transaction evaluator systems analyze the information available to determine whether to request multiple payment options. A request for multiple payment methods is only made if the estimated economic utility justifies it.
In an alternate embodiment, the merchant and/or transaction evaluator obtains and analyzes a first payment instrument then makes a decision as to whether to request a secondary payment instrument from the customer. Thus, a request for additional payment methods is only made if the estimated economic utility justifies it.
O. Reliability
Participants in payment processing networks demand high levels of reliability and availability. Outages can cause issuers, acquirers, and the payment networks to lose money due to lost fransaction volume, while merchants can lose the ability to conduct fransactions, obtain payment authorizations, or use particular payment methods. As a result, payment systems and their adjunct information services and systems need to be extremely reliable. The methods and systems described herein can be implemented so that they do not reduce the reliability of the payment systems. For example, if the transaction evaluator fails to provide a timely selection (e.g., due to network outages, equipment failures, network delays, inaccessibility of issuer systems, etc.), then the fransaction can still proceed by allowing the merchant to, for example, arbitrarily select one of the payment methods offered by the customer. In fact, reliability can be improved by providing back-up payment methods that can be employed if the prefened method is unavailable.
E . Security
Participants in payment processing networks demand high levels of security, data integrity and confidentiality. Vulnerabilities in messaging and data storage systems may introduce conditions or situations which can cause customers, issuers, acquirers, and the payment networks to lose money or face other risks if inappropriate access, observation, or possession of transaction, customer, acquirer, issuer or payment network data occurs. As a result, payment systems and their adjunct information services and systems need to be exfremely secure. The methods and systems described herein can be implemented without reducing the security of the payment systems by using data encryption, secure hardware, digital signatures, PIN pads, and/or still other secure fransaction processing methods known in the background art.
L Payment Method Indexing
In an alternate embodiment of the invention, the customer is provided with a unique identifying value at the conclusion of a first transaction, where this value identifies the payment method(s) used by or supported by the customer. For example, this information could be (without limitation) a web browser cookie, an identifier value provided on a sticker for placing on a bank card, an alphanumeric identifier, etc. In subsequent transac- tions (with the same merchant or with other participating merchants), the customer can supply this identifier value to avoid having to re-supply information about all supported payment methods. In addition, the identifier value could be used to index other relevant information, such as the customer's shipping address, frequent flier number (or other reward account), telephone number, network address, e-mail address, etc. Using an index of this type provides both convenience and security benefits, since account numbers and other transaction-related data do not need to be sent with every transaction. In addition, payment verification is streamlined because conoborating information (such as addresses) is already stored.
In an alternative embodiment, instead of issuing a new identifying value to the customer, the customer payment information (and other customer data) is indexed by a value supplied by the customer. For example, the transaction evaluator can use a tele- phone number, e-mail address, processor serial number, or other value associated with a customer to locate records from previous fransactions and determine additional customer information such as shipping addresses and alternate payment methods.
In an alternative embodiment, the customer can provide authorization to access a credit report or any other record from a (public or private) database operated by a third party. From this report or record, the transaction evaluator and/or merchant can identify payment methods supported by the customer, then either (a) select one of these methods, or (b) let the customer select a subset of methods from which the transaction evaluator will select a method. Examples of such databases include without limitation credit reporting agencies and payment wallet operators. Note that this database does not need to be centrally operated. For example, the record can be carried in (without limitation) a customer's smart card, PDA (such as a Palm Pilot), cellular telephone, or personal computer.
As an example, consider a transaction where the customer had previously provided two different payment instruments, a checking account and a credit card, and received a unique identifier issued by the transaction evaluator. The customer then presents herself to a previously unused merchant and submits her identifier. The transaction evaluator for the new merchant validates the identifier and determines (and/or verifies) the customer's payment methods for the new transaction.
As a separate example, consider a transaction where the customer had previously stored the information concerning several different payment instruments in the memory of their personal computer or other personal device (such as a PDA). The customer then presents herself to a merchant and provides the merchant with the ability to access data in (or from) her device. The merchant or the transaction evaluator then accesses data in (or from) the device, yielding information identifying multiple offered payment instruments, and selects a payment instrument to use to consummate the transaction. In an another embodiment, the customer stores information concerning at least two different payment instruments in the memory of a database, such as a web-based wallet. The customer then presents herself to a merchant and offers access to the wallet record in response to the merchant's solicitation for multiple payment instruments. The merchant or the transaction evaluator then accesses that record, selecting from among multiple appropriate payment instruments described in the wallet one to use when consummating the transaction. Alternatively the customer may simply authorize the merchant or fransaction evaluator to access their records at (or obtained from) a public credit reporting agency so that the transaction evaluator can select a payment instrument.
I Alternative Embodiments and Applications
Embodiments of the invention can support any type or combination of appropriate payment instruments. Examples of payment instruments that can be supported include, without limitation: (a) cash; (b) checks; (c) credit cards; (d) debit or ATM cards; (e) prepaid bank cards; (f) other payment or bank cards; (g) electronic cash; (h) loyalty points, script, barter units, or other unofficial payment schemes; (i) coupons; (j) gift certificates; (k) securities transfer; (1) equity instruments; (m) customer agreement to be billed later
(e.g., by the merchant); and (n) credit extended by a merchant. In some embodiments, only specific combinations of supported payment instruments may be allowed. For example, a web-based system may require that one payment method be a credit card, but allow the other method to be a credit card, checking account, or cash-on-delivery (COD) shipment.
An important aspect of the invention is that it allows payment instrument issuers to compete for desirable transactions. Such competition is most effective if the candidate payment instruments have different funding sources. (Examples of funding sources include bank accounts, credit lines, and bond guarantors.) For example, two debit cards linked to the same account share a funding source and thus generally do not present a significant competitive opportunity because the same issuer will handle the transaction in either case. In contrast, two ATM (debit) cards linked to different accounts have different funding sources and present a much greater issuer opportunity. Note that the invention can be useful in the case where two funding sources from the same issuer are supplied by a customer. For example, an issuer who has provided to a low-risk customer both a debit card (whose funding source is a bank account) and a credit card (whose funding source is a line of credit) might prefer to direct transactions to the credit card to gain higher interchange fees and the possibility of collecting additional interest income. Payment methods can be denominated in any cunency or combination of cunen- cies. (The use of dollars in examples is, of course, exemplary.) If multiple cunencies are involved, transaction evaluators can adjust decisions for factors such as exchange rates, market fluctuations, issuer/acquirer/merchant preferences, net positions (e.g., to minimize actual cunency conversions required), risk, etc. Note that it may not be necessary for all parties to a transaction to be aware of cunency conversions, provided that the transaction evaluator, payment network, issuer, or some other participant has the capacity to perform the foreign exchange and absorb any associated financial risk. In an alternative embodiment, the transaction evaluator can select which of two or more cunencies will be used when charging an amount to a customer. Thus, the customer can be given the option of providing alternative forms of payments with each form in a different cunency (e.g., dollar-denominated credit card payments vs. a check in British pounds). If the merchant has a cunency preference, the fransaction evaluator can compensate in the selection process. Similarly, if issuers have a cunency preference, they can specify their preferences and/or provide offers for the transaction in multiple cunencies. In one embodiment of the present invention, customer interaction (e.g., requesting multiple payment methods, entering information about the payment methods into a computer terminal, etc.) is performed via electronic communications with the customer. Examples of such communication includes without limitation voice telephony, modem, Internet, world wide web, electronic mail, leased line, video teleconference, facsimile, radio, wireless (e.g., between a PDA or cell phone and merchant terminal), etc. In one such embodiment, customer communication is via telephony using an operator at a call center. The operator has a computer system configured to accept two or more payment methods offered by the customer. The operator computer is connected via a computer network to a transaction evaluator, which selects one of the payment methods supplied. The operator computer can also perform other tasks, including without limitation obtain- ing from a database information about products or services (e.g., airline schedules, computer system component descriptions, etc.), recording customer orders, order tracking, etc. Alternatively, the transaction evaluator can be implemented in the operator computer. The payment transaction, using the selected payment method, is then deposited via a transaction server. In addition, the operator computer can be configured to prompt the operator (e.g., with scripted dialog) to request a secondary payment method only for transactions where the economic utility associated with having multiple payment methods justifies the time and expense of requesting and receiving additional payment information from the customer. As a reward for requesting additional payment methods, operators can be automatically paid a commission for obtaining secondary payment methods. Alternatively the call center may be implemented using computer-driven automated voice or data response units. In this case, the user would be automatically solicited to provide information describing two or more payment instruments. The user then provides payment instrument information to the call center systems (e.g. by speaking to a voice recognition unit, entering values using a touch tone telephone to a DTMF decoder, using a smart card enabled telephone to digitally send payment information, etc.). The call center systems then select a payment instrument, process the customer's payment, and fulfill the order using methods like those described herein for other merchant environments.
Note that a request for multiple payment methods can occur before any payment methods are supplied or can occur after a first payment method has been supplied and analyzed. For example, if the first method has favorable processing terms, it may not be necessary to request additional methods.
In an alternative embodiment, if only one payment method is supplied by the customer, the merchant can offer a reward (which can be identical to an incentive offered for providing multiple payment methods or can be a different reward) for completing an application form for additional payment methods. The reward can be given to anyone who completes the application form, or can be contingent on properly completing the form, or can be contingent on actually receiving and/or using a new payment instrument. Customers are likely to be receptive to this offer, since having additional payment methods will enable them to take advantage of the rewards offered by merchants using the present invention. In addition, customers with only one payment method are likely to be under-served and therefore be interested in obtaining a secondary payment instrument. Finally, this offer can benefit participating issuers (who gain new customers), merchants (who can receive rewards from issuers for signing up new customers), and the fransaction evaluator (who will potentially be able to make choices in future transactions by the customer).
In one embodiment, the transaction evaluator can evaluate multiple processing options for one or more payment methods. For example, by maintaining relationships with multiple acquirers or fransaction processors, the transaction evaluator can route transactions to the parties who will profit most from the transactions and/or who offer the most favorable terms. Alternatively, desirable transactions can be routed to participating transaction processors (acquirers) and undesirable transactions can be routed to non-participating (or blacklisted) processors.
In another embodiment, transactions can bypass conventional processing networks altogether by (for example) supplying transaction information to the issuer via an Internet connection. In this case, the transaction evaluator (or a separate component responsible for processing transactions) can maintain routing tables and algorithms for identifying issuers of particular payment instruments, determining whether alternate transaction processing methods are available, determining a network address (such as an IP address) or other routing information conesponding to the issuer (or other party responsible for conducting transactions on behalf of the issuer), and conducting the transaction with the issuer (or other party). In some cases, such as ATM cards, where general association or network rales may impose specific transaction requirements (such as a PIN at the point of sale), direct relationships with issuers and/or separate transaction processing methods can be particularly advantageous by allowing these rales to be bypassed. In one embodiment, the merchant can split a transaction among multiple payment methods. Such an approach could be advantageous in unusual cases where one or more payment methods cannot accommodate the entire fransaction amount or where multiple smaller transactions incur total fees that are lower than one larger transaction. Factors that must be considered when splitting transactions include payment network rules (that may prohibit the splitting of transactions) and the increased complexity of user interfaces and user interaction for refunds or dispute resolution.
If any communications are conducted over the Internet (or any other possibly insecure network), these communications are preferably encrypted and authenticated. Protocols (such as SSL 3.0) and cryptographic algorithms for securing communications over untrusted networks are well known in the background art. In one embodiment of the invention, if a cardholder indicated their interest in supplying a second payment instrument, but was unable for any reason to do so, the merchant and/or transaction evaluator could provide access to instant credit granting services. These services may be traditional credit cards (e.g., with instant or rapid approval times) or alternative payment mechanisms such as private label credit accounts, non-credit payment cards, or other appropriate instruments.
In another embodiment of the invention, the merchant and/or fransaction evaluator could analyze the payment option(s) offered and suggest to the customer alternative credit or payment instrument issuing services, such as those offering more favorable customer terms. These services may be traditional credit cards (e.g., with instant approval times) or it may be alternative payment mechanisms, such as private label credit accounts, non-credit payment cards, etc. Alternatively or in addition, information about customer offers and transactions can be supplied to issuers or third parties for marketing or advertising purposes (although such data sharing must be performed carefully to respect privacy policies and customer expectations of privacy). Also, issuer offers can include bids for additional information. Similarly, third parties can be provided with (or given the opportunity to bid on) transaction data. Before sharing any customer data, customers are preferably notified and given the opportunity to opt out.
In various embodiments of the invention, the role of the fransaction evaluator can be performed by a third party or by the fransaction acquirer, the merchant, an issuer, a payment network, or any other party involved in (or potentially involved in) the transaction. In various embodiments, the transaction evaluator decision process can be (without limitation) performed by the merchant's cash register, credit card terminal (or other payment systems or point-of-sale terminal), independent computer systems, the merchant's web server, a computer or server connected to the merchant's web server or point-of-sale systems, by a machine connected via a computer network (or other electronic communica- tion means) to the merchant location, etc.
The fransaction evaluator can act as a payment gateway. For example, the fransaction evaluator can be responsible for processing the transaction using the selected payment method, collecting payment from the issuer (e.g., via a payment network), and paying the merchant. The transaction evaluator can also handle the customer interface, for example by serving secure web pages to customers where customers can enter multiple payment methods.
The information supplied by customers identifying offered payment instruments does not need to include all information the customer has concerning the payment instrument. For example, a bank identification number (typically the first digits of a credit card number) may be sufficient identification of a payment instrument for a transaction evaluator or issuer to evaluate payment terms and make a decision. In this case, the rest of the credit card number would be required for the selected payment instrument, but would not be required for payment methods that are not selected. Obtaining less information can help to mitigate customer privacy concerns and/or reduce the amount of time per transac- tion.
The terms "customer" and "merchant" are used generally to refer to the parties of a transaction. For example, the customer and merchant may be parties of any type, including, without limitation, individuals, businesses, organizations, etc. The methods and systems described herein can be applied to purchases of all types, including without limitation mail-order, Internet, retail ("bricks and mortar"), vending machines, pre-authorized bill payments, subscriptions, business-to-business, business-to-consumer, consumer-to-consumer, etc. Payments can be for any types of goods or services, including (without limitation) purchases and payments for computers, furniture, automobiles, jewelry, industrial equipment, real estate, airplane tickets, car rentals, hotels, tax debts, landscaping services, groceries, rent, etc. In cases where exemplary embodiments have been described that include conditional decisions, it is anticipated that multiple transactions may be performed and that these multiple transactions may include processing using different conditional decisions.
All of the foregoing illustrates exemplary embodiments and applications of the invention, from which related variations, enhancements and modifications will be apparent without departing from the spirit and scope of the invention. Therefore, the invention should not be limited to the foregoing disclosure, but rather construed by the claims appended hereto.

Claims

1. A method of charging a payment transaction to a customer, comprising the steps of:
(a) soliciting from said customer a plurality of payment instruments; (b) obtaining from said customer information identifying at least two payment instruments, where: (i) said customer is willing to allow said payment transaction to be processed using any of said identified payment instruments, (ii) said identified instruments utilize different funding sources, and (iii) where each of said identified payment instruments is usable for processing said payment fransaction in its entirety;
(c) submitting information regarding said identified payment instruments to a computer-implemented transaction evaluator configured to automatically select one of said identified payment instruments based on the relative economic utility of said identified payment instruments;
(d) receiving from said fransaction evaluator a selection of one of said identified payment instruments;
(e) notifying said customer which of said payment instruments was selected; and (f) receiving funds for the payment of said fransaction using said selected payment instrument.
2. The method of claim 1 where, in said step (c), said relative economic utility is that to a merchant performing at least said step (a).
3. The method of claim 1 comprising the additional step prior to at least said step (f) of electronically transmitting to a payment network data identifying at least said selected payment instrument and the amount of said transaction.
4. The method of claim 3 comprising the additional step after at least said step (d) of receiving confirmation from said payment network that said payment transaction was processed successfully.
5. The method of claim 1 where said step (e) includes obtaining from said customer explicit authorization to process said payment fransaction using said selected payment instrument.
6. The method of claim 5 where said explicit authorization includes a signature.
7. The method of claim 1 where said steps (a), (b), and (e) are performed via electronic communication with said customer.
8. The method of claim 7 where said electronic communication includes using an automated telephony-based response system.
9. The method of claim 7 where at least said step (a) includes sending a form over the Internet to a web browser operated by said customer.
10. The method of claim 1 comprising the additional step after said step (c) of said transaction evaluator comparing estimated transaction benefit values associated with each of said identified payment instruments and selecting the one of said payment instruments with the greatest transaction benefit.
11. The method of claim 1 comprising the further steps after at least said step (b) of:
(i) transmitting information about said payment transaction to a com- puter authorized to represent the issuer of at least one of said identified payment instruments, and
(ii) receiving in response from said computer a first offer describing the terms under which said issuer is willing to process said payment fransaction.
12. The method of claim 11 where said offer must meet a predefined minimum amount for said issuer to be granted priority in receiving said payment transaction.
13. The method of claim 11 comprising the further steps of:
(i) receiving from the issuer of a second of said identified payment instruments a second offer;
(ii) identifying which of said first offer and said second offer provides a greater transaction benefit; and (iii) accepting the more favorable of said offers.
14. The method of claim 13 comprising the further step of computing the terms for said payment transaction as a function of both said first offer and said second offer.
15. The method of claim 1 comprising the additional steps after at least said step (c) of:
(i) conducting an automatic electronic auction among the issuers of said identified payment instruments; (ii) identifying a winner of said auction; and (iii) selecting the one of said identified payment instruments issued by said winner.
16. The method of claim 1 comprising the additional step of updating records containing payment instrument selection criteria.
17. The method of claim 16 where said records include a list of payment processing terms for payment instruments from prefened issuers.
18. The method of claim 16 where said records include:
(i) routing tables containing communications network information conesponding to a plurality of payment instrument issuers; and (ii) software for analyzing responses received from said plurality of issuers.
19. The method of claim 1 comprising the additional step after at least said step (c) of receiving from an issuer of at least one of said identified payment instruments an incentive based on which of said identified payment instruments is selected.
20. The method of claim 19 where said incentive includes a payment guarantee to accept risk associated with said transaction.
21. The method of claim 19 where said incentive includes a payment for processing said transaction using a payment instrument from an issuer other than the issuer providing said incentive.
22. The method of claim 1 comprising the additional step after said step (c) of analyz- ing and comparing the risk associated with at least two of said identified payment instruments.
23. The method of claim 22 including using information from at least one of said identified payment instruments to estimate risk associated with another of said identified payment instruments.
24. The method of claim 1 where said step (a) includes offering an incentive to said customer for supplying said plurality of payment instruments.
25. The method of claim 24 where said incentive depends on the economic utility of said payment instruments.
26. The method of claim 1 where said step (f) is performed before said step (e).
27. The method of claim 1 comprising the additional step after at least said step (b) of obtaining fransaction authorizations for the amount of said payment transaction from issuers of each of said identified payment instruments.
28. The method of claim 1 where said transaction evaluator is operated by a merchant performing at least said step (a).
29. The method of claim 1 where said transaction evaluator is located in a server connected to the Internet.
30. The method of claim 1 comprising the additional step prior to said step (a) of:
• receiving an order from said customer;
• based on said order, determining that it is advantageous to request multiple payment instruments from said customer; and comprising the additional steps after said step (f) of: • receiving a second order from a second customer;
• based on said second order, determining that it is not advantageous to request multiple payment instruments from said second customer;
• soliciting from said second customer a single payment instrument; and
• receiving from said second customer information describing a single payment instrument.
31. The method of claim 1 performed using a computer staffed by an operator communicating via telephone with said customer who is placing an order.
32. The method of claim 1 where said solicited payment instruments are of different types.
33. The method of claim 1 where said identified payment instruments are credit cards from different issuers.
34. The method of claim 1 comprising the additional step of updating records in a computer-based accounting system to reflect an amount due from the issuer of said selected payment instrument.
35. An apparatus for charging a payment transaction to a customer, comprising:
(a) means for soliciting a plurality of payment instruments;
(b) means for obtaining information identifying at least two payment instruments, where: (i) said customer is willing to allow said payment fransaction to be processed using any of said identified payment instruments, (ii) said identified instruments utilize different funding sources, and (iii) where each of said identified payment instruments is usable for processing said payment transaction in its entirety; (c) means for submitting information regarding said identified payment instruments to a computer-implemented transaction evaluator configured to automatically select one of said identified payment instruments based on the relative economic utility of said identified payment instruments;
(d) means for receiving from said transaction evaluator a selection of one of said identified payment instruments; and
(e) means for outputting which of said payment instruments was selected.
36. The apparatus of claim 35 where said elements (a), (b), and (e) are configured for electronic communication with said customer using an automated telephony-based response system.
37. The apparatus of claim 36 further comprising means for connecting to the Internet.
38. The apparatus of claim 35 wherein said transaction evaluator is configured to compare estimated transaction benefit values associated with each of said identified payment instruments and select the one of said payment instruments with the greatest transaction benefit.
39. The apparatus of claim 35 further comprising:
(i) means for transmitting information about said payment transaction to a computer authorized to represent the issuer of at least one of said identified payment instruments, and (ii) means for receiving in response from said computer a first offer describing the terms under which said issuer is willing to process said payment transaction.
40. The apparatus of claim 39 further comprising:
(i) means for receiving from the issuer of a second of said identified payment instruments a second offer;
(ii) means for identifying which of said first offer and said second offer provides a greater transaction benefit; and (iii) means for accepting the more favorable of said offers.
41. The apparatus of claim 35 further comprising: (i) means for conducting an automatic electronic auction among the issuers of said identified payment instraments; (ii) means for identifying a winner of said auction; and (iii) means for selecting the one of said identified payment instraments issued by said winner.
42. The apparatus of claim 35 further comprising a memory containing:
(i) payment instrument selection criteria; (ii) payment processing terms for payment instraments from prefened issuers; (iii) communications network information conesponding to a plurality of payment instrument issuers; and
(iv) software for analyzing responses received from said plurality of issuers.
43. The apparatus of claim 35 further comprising means for receiving from an issuer of at least one of said identified payment instruments an incentive based on which of said identified payment instruments is selected.
44. The apparatus of claim 35 further comprising means for analyzing and comparing the risk associated with at least two of said identified payment instraments, and for using information from at least one of said identified payment instruments to estimate risk associated with another of said identified payment instruments.
45. The apparatus of claim 35 where said element (a) includes means for offering an incentive to said customer for supplying said plurality of payment instruments.
46. The apparatus of claim 35 further comprising means for:
• receiving an order from said customer;
• based on said order, determining that it is advantageous to request multiple payment instruments from said customer in said element (a); and means for:
• receiving a second order from a second customer;
• based on said second order, determining that it is not advantageous to request multiple payment instruments from said second customer;
• soliciting from said second customer a single payment instrument; and • receiving from said second customer information describing a single payment instrument.
47. The apparatus of claim 35 implemented as a computer staffed by an operator communicating via telephone with said customer who is placing an order.
48. The apparatus of claim 35 wherein said solicited payment instruments are of different types.
9. The apparatus of claim 35 further comprising a computer-based accounting system having records updateable to reflect an amount due from the issuer of said selected payment instrument.
PCT/US2001/007554 2000-03-10 2001-03-09 Routing methods and systems for increasing payment transaction volume and profitability WO2001069492A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2001243530A AU2001243530A1 (en) 2000-03-10 2001-03-09 Routing methods and systems for increasing payment transaction volume and profitability

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US09/523,405 2000-03-10
US09/523,405 US6999943B1 (en) 2000-03-10 2000-03-10 Routing methods and systems for increasing payment transaction volume and profitability

Publications (1)

Publication Number Publication Date
WO2001069492A1 true WO2001069492A1 (en) 2001-09-20

Family

ID=24084863

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2001/007554 WO2001069492A1 (en) 2000-03-10 2001-03-09 Routing methods and systems for increasing payment transaction volume and profitability

Country Status (3)

Country Link
US (1) US6999943B1 (en)
AU (1) AU2001243530A1 (en)
WO (1) WO2001069492A1 (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007065209A1 (en) * 2005-12-06 2007-06-14 Layby Pty Ltd Method and system for selling items via a data communications network
SG137650A1 (en) * 2002-07-19 2007-12-28 Mok Beatrice Method for rewarding customer loyalty with respect to a lease agreement
JP2008529103A (en) * 2004-08-16 2008-07-31 アガーワル,サンジブ Computerized processing for differentiated incentives based on payment mode
US20210192488A1 (en) * 2016-01-25 2021-06-24 Freelancer Technology Pty Limited Adaptive gateway switching system

Families Citing this family (447)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8396811B1 (en) 1999-02-26 2013-03-12 Syncada Llc Validation approach for auditing a vendor-based transaction
US20050165699A1 (en) * 1996-11-12 2005-07-28 Hahn-Carlson Dean W. Processing and management of transaction timing characteristics
US8392285B2 (en) * 1996-11-12 2013-03-05 Syncada Llc Multi-supplier transaction and payment programmed processing approach with at least one supplier
US20070055582A1 (en) 1996-11-12 2007-03-08 Hahn-Carlson Dean W Transaction processing with core and distributor processor implementations
US20080172314A1 (en) 1996-11-12 2008-07-17 Hahn-Carlson Dean W Financial institution-based transaction processing system and approach
US5903882A (en) * 1996-12-13 1999-05-11 Certco, Llc Reliance server for electronic transaction system
US7809642B1 (en) 1998-06-22 2010-10-05 Jpmorgan Chase Bank, N.A. Debit purchasing of stored value card for use by and/or delivery to others
US6615189B1 (en) 1998-06-22 2003-09-02 Bank One, Delaware, National Association Debit purchasing of stored value card for use by and/or delivery to others
US7660763B1 (en) 1998-11-17 2010-02-09 Jpmorgan Chase Bank, N.A. Customer activated multi-value (CAM) card
US6032136A (en) * 1998-11-17 2000-02-29 First Usa Bank, N.A. Customer activated multi-value (CAM) card
EP1188135A2 (en) 1998-12-23 2002-03-20 The Chase Manhattan Bank System and method for integrating trading operations including the generation, processing and tracking of trade documents
US20040019560A1 (en) 1999-03-12 2004-01-29 Evans Scott L. System and method for debt presentment and resolution
US7805365B1 (en) 1999-10-25 2010-09-28 Jpmorgan Chase Bank, N.A. Automated statement presentation, adjustment and payment system and method therefor
US8851369B2 (en) 1999-11-05 2014-10-07 Lead Core Fund, L.L.C. Systems and methods for transaction processing using a smartcard
US8596527B2 (en) 1999-11-05 2013-12-03 Lead Core Fund, L.L.C. Methods for locating a payment system utilizing a point of sale device
US20090271278A1 (en) * 1999-11-05 2009-10-29 American Express Travel Related Services Company, Inc. Systems and methods for routing a transaction request to a payment system via a transaction device
US8180706B2 (en) 1999-11-05 2012-05-15 Lead Core Fund, L.L.C. Systems and methods for maximizing a rewards accumulation strategy during transaction processing
US8814039B2 (en) 1999-11-05 2014-08-26 Lead Core Fund, L.L.C. Methods for processing a payment authorization request utilizing a network of point of sale devices
US8190514B2 (en) 1999-11-05 2012-05-29 Lead Core Fund, L.L.C. Systems and methods for transaction processing based upon an overdraft scenario
US8820633B2 (en) 1999-11-05 2014-09-02 Lead Core Fund, L.L.C. Methods for a third party biller to receive an allocated payment authorization request
US8195565B2 (en) 1999-11-05 2012-06-05 Lead Core Fund, L.L.C. Systems and methods for point of interaction based policy routing of transactions
US8875990B2 (en) 1999-11-05 2014-11-04 Lead Core Fund, L.L.C. Systems and methods for allocating a payment authorization request to a payment processor
US8073772B2 (en) 1999-11-05 2011-12-06 American Express Travel Related Services Company, Inc. Systems and methods for processing transactions using multiple budgets
US8794509B2 (en) 1999-11-05 2014-08-05 Lead Core Fund, L.L.C. Systems and methods for processing a payment authorization request over disparate payment networks
US8646685B2 (en) 1999-11-05 2014-02-11 Lead Core Fund, L.L.C. Device for allocating a payment authorization request to a payment processor
US8571975B1 (en) 1999-11-24 2013-10-29 Jpmorgan Chase Bank, N.A. System and method for sending money via E-mail over the internet
US8793160B2 (en) 1999-12-07 2014-07-29 Steve Sorem System and method for processing transactions
US6615190B1 (en) * 2000-02-09 2003-09-02 Bank One, Delaware, National Association Sponsor funded stored value card
US7822656B2 (en) * 2000-02-15 2010-10-26 Jpmorgan Chase Bank, N.A. International banking system and method
US7437293B1 (en) * 2000-06-09 2008-10-14 Videa, Llc Data transmission system with enhancement data
US8078491B1 (en) * 2000-06-26 2011-12-13 H.O.M.E. Mortgage Card, LLC System for card activity-based residential crediting
US7983986B1 (en) * 2000-06-26 2011-07-19 Philip Carragher System for card activity-based mortgage crediting
US20080147564A1 (en) * 2001-06-26 2008-06-19 Tara Chand Singhal Security in use of bankcards that protects bankcard data from merchant systems in a payment card system
US7359880B2 (en) * 2000-07-11 2008-04-15 Abel Luther C System and method for consumer control over card-based transactions
US20050229003A1 (en) 2004-04-09 2005-10-13 Miles Paschini System and method for distributing personal identification numbers over a computer network
US8032460B2 (en) * 2000-07-27 2011-10-04 Daita Frontier Fund, Llc Authentication managing apparatus, and shop communication terminal
WO2002015098A2 (en) 2000-08-11 2002-02-21 Loy John J Trade receivable processing method and apparatus
US20070162387A1 (en) * 2000-11-06 2007-07-12 Cataline Glen R System and method for optimized funding of electronic transactions
US7587363B2 (en) * 2000-11-06 2009-09-08 Jpmorgan Chase Bank, N.A. System and method for optimized funding of electronic transactions
WO2002037386A1 (en) * 2000-11-06 2002-05-10 First Usa Bank, N.A. System and method for selectable funding of electronic transactions
US20070005498A1 (en) * 2000-11-06 2007-01-04 Cataline Glen R System and method for optimized funding of electronic transactions
EP1339496B1 (en) * 2000-11-06 2007-02-28 The Government of the United States of America, as represented by the Secretary of Health and Human Services Sample delivery system with laminar mixing for microvolume biosensing
US20040143553A1 (en) * 2000-12-01 2004-07-22 Torget John W. System and method for remotely generating instruments
US6631849B2 (en) * 2000-12-06 2003-10-14 Bank One, Delaware, National Association Selectable multi-purpose card
US20020072931A1 (en) * 2000-12-07 2002-06-13 Ronald C. Card System and method to provide financial rewards and other incentives to users of personal transaction devices
US7295999B1 (en) 2000-12-20 2007-11-13 Jpmorgan Chase Bank, N.A. System and method for determining eligibility and enrolling members in various programs
US8805739B2 (en) 2001-01-30 2014-08-12 Jpmorgan Chase Bank, National Association System and method for electronic bill pay and presentment
US7895098B2 (en) 2001-03-01 2011-02-22 Jpmorgan Chase Bank, N.A. System and method for measuring and utilizing pooling analytics
US7685061B2 (en) * 2001-03-01 2010-03-23 Capital One Financial Corporation Methods and systems for providing debt recovery partnership
US20020184130A1 (en) * 2001-04-04 2002-12-05 Blasko John P. Intellectual capital risk analysis system
US20050004839A1 (en) * 2001-05-04 2005-01-06 Anton Bakker Method and system for providing incentives based on a payment type
US7313546B2 (en) 2001-05-23 2007-12-25 Jp Morgan Chase Bank, N.A. System and method for currency selectable stored value instrument
WO2003010701A1 (en) 2001-07-24 2003-02-06 First Usa Bank, N.A. Multiple account card and transaction routing
US7306141B1 (en) 2001-08-13 2007-12-11 Jpmorgan Chase Bank, N.A. System and method for funding a collective account by use of an electronic tag
US8800857B1 (en) 2001-08-13 2014-08-12 Jpmorgan Chase Bank, N.A. System and method for crediting loyalty program points and providing loyalty rewards by use of an electronic tag
US6945453B1 (en) * 2001-08-13 2005-09-20 Bank One Delaware N.A. System and method for funding a collective account by use of an electronic tag
US8020754B2 (en) 2001-08-13 2011-09-20 Jpmorgan Chase Bank, N.A. System and method for funding a collective account by use of an electronic tag
EP1435182B1 (en) * 2001-10-08 2008-02-13 Telefonaktiebolaget LM Ericsson (publ) System and method for charging in a communications network and a communications network charging server
JP4555523B2 (en) * 2001-10-15 2010-10-06 富士通株式会社 Settlement relay method
US20030093372A1 (en) * 2001-11-13 2003-05-15 International Business Machines Corporation Customizable offline payment plug-in for payment server
US20030130919A1 (en) * 2001-11-20 2003-07-10 Randy Templeton Systems and methods for selectively accessing financial account information
US7873566B1 (en) 2001-11-20 2011-01-18 First Data Corporation Systems and methods for selectively accessing or using financial account data for subsequent risk determination
US20100030675A1 (en) * 2001-12-06 2010-02-04 Hanan Christopher C Payor focused business to business electronic invoice presentment and accounts payable reconciliation system and method
US7668776B1 (en) 2002-01-07 2010-02-23 First Data Corporation Systems and methods for selective use of risk models to predict financial risk
US7653590B1 (en) 2002-01-14 2010-01-26 First Data Corporation System and method for overturning of risk evaluation performed by risk model to control financial risk
US7756896B1 (en) 2002-03-11 2010-07-13 Jp Morgan Chase Bank System and method for multi-dimensional risk analysis
US7899753B1 (en) 2002-03-25 2011-03-01 Jpmorgan Chase Bank, N.A Systems and methods for time variable financial authentication
WO2003083619A2 (en) 2002-03-29 2003-10-09 Bank One, Delaware, N.A. System and process for performing purchase transaction using tokens
US20040210498A1 (en) 2002-03-29 2004-10-21 Bank One, National Association Method and system for performing purchase and other transactions using tokens with multiple chips
CN1675640A (en) * 2002-06-11 2005-09-28 第一数据公司 Value processing network and methods
US7110980B2 (en) * 2002-06-21 2006-09-19 American Express Bank Ltd. System and method for facilitating electronic transfer of funds
US7558758B2 (en) * 2002-06-26 2009-07-07 International Business Machines Corporation Business event triggered, policy-driven payment management
US8239304B1 (en) 2002-07-29 2012-08-07 Jpmorgan Chase Bank, N.A. Method and system for providing pre-approved targeted products
US20040039691A1 (en) * 2002-08-15 2004-02-26 Barratt Robert E. Electronic funds transaction system
US7809595B2 (en) 2002-09-17 2010-10-05 Jpmorgan Chase Bank, Na System and method for managing risks associated with outside service providers
US9064281B2 (en) 2002-10-31 2015-06-23 Mastercard Mobile Transactions Solutions, Inc. Multi-panel user interface
US10205721B2 (en) 2002-12-10 2019-02-12 Ewi Holdings, Inc. System and method for distributing personal identification numbers over a computer network
US20040167854A1 (en) * 2003-02-21 2004-08-26 Knowles W. Jeffrey System and method of currency conversion in financial transaction process
US20050027649A1 (en) * 2003-02-27 2005-02-03 Richard Cech Event typer
US10311412B1 (en) 2003-03-28 2019-06-04 Jpmorgan Chase Bank, N.A. Method and system for providing bundled electronic payment and remittance advice
US7131578B2 (en) 2003-05-28 2006-11-07 Ewi Holdings, Inc. System and method for electronic prepaid account replenishment
US8306907B2 (en) 2003-05-30 2012-11-06 Jpmorgan Chase Bank N.A. System and method for offering risk-based interest rates in a credit instrument
US8666855B2 (en) * 2003-06-30 2014-03-04 Plati Networking, Llc System and method for a payment system directory
US7660766B1 (en) 2003-06-30 2010-02-09 Checkfree Services Corporation Technique for information flow to payees
US7908215B2 (en) * 2003-06-30 2011-03-15 American Express Travel Related Services Company, Inc. System and method for selection of payment systems from a payment system directory to process a transaction
US7930248B1 (en) * 2003-06-30 2011-04-19 Checkfree Corporation Technique for calculating payee specific time to payment completion
US8010424B1 (en) 2003-08-01 2011-08-30 Checkfree Corporation Payment processing with payee risk management
US7702583B1 (en) * 2003-08-01 2010-04-20 Checkfree Corporation Payment processing with selection of an electronic debiting option
US7653598B1 (en) 2003-08-01 2010-01-26 Checkfree Corporation Payment processing with selection of a processing parameter
US7809617B1 (en) 2003-08-01 2010-10-05 Checkfree Corporation Payment processing with selection of a risk reduction technique
US7624068B1 (en) * 2003-08-18 2009-11-24 Jpmorgan Chase Bank, N.A. Method and system for dynamically adjusting discount rates for a card transaction
US7953663B1 (en) 2003-09-04 2011-05-31 Jpmorgan Chase Bank, N.A. System and method for financial instrument pre-qualification and offering
US20050097046A1 (en) * 2003-10-30 2005-05-05 Singfield Joy S. Wireless electronic check deposit scanning and cashing machine with web-based online account cash management computer application system
EP1817726A4 (en) * 2003-11-04 2009-09-09 Ebiz Mobility Ltd Universal mobile electronic commerce
US7590557B2 (en) * 2003-11-19 2009-09-15 American Express Travel Related Services Company, Inc. Healthcare card incentive program for multiple users
US7922083B2 (en) * 2003-11-19 2011-04-12 Harrison Sarah E Payment programs for healthcare plans
US20060167720A1 (en) * 2004-11-19 2006-07-27 American Express Travel Related Services Company, Inc. Incentive Programs for Healthcare Cards
US20100211493A9 (en) * 2003-11-19 2010-08-19 American Express Travel Related Services Company, Inc. Incentive Programs For Healthcare Cards
US7783563B2 (en) * 2003-12-09 2010-08-24 First Data Corporation Systems and methods for identifying payor location based on transaction data
US7814003B2 (en) * 2003-12-15 2010-10-12 Jp Morgan Chase Billing workflow system for crediting charges to entities creating derivatives exposure
KR100439437B1 (en) * 2003-12-18 2004-07-09 주식회사 교원나라 Bank transaction system for linked accounts via common account
US8386376B2 (en) * 2004-02-09 2013-02-26 American Express Travel Related Services Company, Inc. System and method using enhanced authorization data to reduce travel-related transaction fraud
US7280644B2 (en) 2004-12-07 2007-10-09 Ewi Holdings, Inc. Transaction processing platform for faciliating electronic distribution of plural prepaid services
US11475436B2 (en) 2010-01-08 2022-10-18 Blackhawk Network, Inc. System and method for providing a security code
US20130054470A1 (en) * 2010-01-08 2013-02-28 Blackhawk Network, Inc. System for Payment via Electronic Wallet
US11599873B2 (en) 2010-01-08 2023-03-07 Blackhawk Network, Inc. Systems and methods for proxy card and/or wallet redemption card transactions
US20050279827A1 (en) * 2004-04-28 2005-12-22 First Data Corporation Methods and systems for providing guaranteed merchant transactions
AU2005255456B2 (en) 2004-06-09 2007-09-13 Syncada Llc Order-resource fulfillment and management system and approach
CN101027687A (en) 2004-06-09 2007-08-29 美国银行和许可股份有限公司 Distributor-based transaction processing system and method
US8762238B2 (en) * 2004-06-09 2014-06-24 Syncada Llc Recurring transaction processing system and approach
US8554673B2 (en) 2004-06-17 2013-10-08 Jpmorgan Chase Bank, N.A. Methods and systems for discounts management
US8121944B2 (en) 2004-06-24 2012-02-21 Jpmorgan Chase Bank, N.A. Method and system for facilitating network transaction processing
US8290863B2 (en) 2004-07-23 2012-10-16 Jpmorgan Chase Bank, N.A. Method and system for expediting payment delivery
US8290862B2 (en) 2004-07-23 2012-10-16 Jpmorgan Chase Bank, N.A. Method and system for expediting payment delivery
US7392222B1 (en) 2004-08-03 2008-06-24 Jpmorgan Chase Bank, N.A. System and method for providing promotional pricing
US8682757B2 (en) * 2004-08-25 2014-03-25 American Express Travel Related Services Company, Inc. Method and apparatus for processing financial transactions subject to different financing terms
US7814004B2 (en) * 2004-10-29 2010-10-12 American Express Travel Related Services Company, Inc. Method and apparatus for development and use of a credit score based on spend capacity
US8204774B2 (en) 2004-10-29 2012-06-19 American Express Travel Related Services Company, Inc. Estimating the spend capacity of consumer households
US20070185802A1 (en) * 2004-11-19 2007-08-09 American Express Travel Related Services Company, Inc. Incentive Programs For Healthcare Cards
US20070185799A1 (en) * 2004-11-19 2007-08-09 American Express Travel Related Services Company, Inc. Spending Account Systems and Methods
US20100070409A1 (en) * 2004-11-19 2010-03-18 Harrison Sarah E Healthcare Card Incentive Program for Multiple Users
US20070185800A1 (en) * 2004-11-19 2007-08-09 Harrison Sarah E Spending Account Systems and Methods
US20070194108A1 (en) * 2004-11-19 2007-08-23 American Express Travel Related Services Company, Inc. Assured Payments For Health Care Plans
US7905399B2 (en) * 2004-11-19 2011-03-15 Barnes Brian T Linking transaction cards with spending accounts
US8346910B2 (en) 2004-11-30 2013-01-01 American Express Travel Related Services Company, Inc. Method and apparatus for managing an interactive network session
US20060136717A1 (en) 2004-12-20 2006-06-22 Mark Buer System and method for authentication via a proximate device
US8295484B2 (en) 2004-12-21 2012-10-23 Broadcom Corporation System and method for securing data from a remote input device
US20060167792A1 (en) * 2004-12-29 2006-07-27 Hahn-Carlson Dean W Multi-supplier transaction and payment programmed processing system and approach
US20060235758A1 (en) * 2005-04-08 2006-10-19 Paypal Inc. Authorization techniques
US7970671B2 (en) * 2005-04-12 2011-06-28 Syncada Llc Automated transaction processing system and approach with currency conversion
US7401731B1 (en) 2005-05-27 2008-07-22 Jpmorgan Chase Bank, Na Method and system for implementing a card product with multiple customized relationships
US7822682B2 (en) 2005-06-08 2010-10-26 Jpmorgan Chase Bank, N.A. System and method for enhancing supply chain transactions
US7742942B2 (en) 2005-06-22 2010-06-22 Excentus Corporation System and method for discounting fuel
US20060293953A1 (en) * 2005-06-22 2006-12-28 Nicholson G R System and method for influencing customer behavior
US7434729B2 (en) * 2005-07-08 2008-10-14 American Express Travel Related Services Company, Inc. Healthcare card closed loop network
US7970626B2 (en) 2005-07-08 2011-06-28 Oltine Acquistitions NY LLC Facilitating payments to health care providers
US20070027784A1 (en) * 2005-07-26 2007-02-01 Ip Commerce Network payment framework
US20140089120A1 (en) 2005-10-06 2014-03-27 C-Sam, Inc. Aggregating multiple transaction protocols for transacting between a plurality of distinct payment acquiring devices and a transaction acquirer
WO2007044500A2 (en) 2005-10-06 2007-04-19 C-Sam, Inc. Transactional services
US20130332343A1 (en) 2005-10-06 2013-12-12 C-Sam, Inc. Multi-tiered, secure mobile transactions ecosystem enabling platform comprising a personalization tier, a service tier, and an enabling tier
US8346638B2 (en) * 2005-10-26 2013-01-01 Capital One Financial Corporation Systems and methods for processing transaction data to perform a merchant chargeback
US7962396B1 (en) 2006-02-03 2011-06-14 Jpmorgan Chase Bank, N.A. System and method for managing risk
US7784682B2 (en) 2006-02-08 2010-08-31 Jpmorgan Chase Bank, N.A. System and method for granting promotional rewards to both customers and non-customers
US8408455B1 (en) 2006-02-08 2013-04-02 Jpmorgan Chase Bank, N.A. System and method for granting promotional rewards to both customers and non-customers
US20070233597A1 (en) * 2006-03-06 2007-10-04 First Data Corporation Least cost network routing for electronic transactions
US9747599B2 (en) * 2006-03-31 2017-08-29 Mastercard International Incorporated Method and system for identifying and processing currency conversion in a financial transaction
US7753259B1 (en) 2006-04-13 2010-07-13 Jpmorgan Chase Bank, N.A. System and method for granting promotional rewards to both customers and non-customers
CN101485185A (en) * 2006-04-26 2009-07-15 加百利·卡贝里 System and method for dial tones screening
US7707192B1 (en) 2006-05-23 2010-04-27 Jp Morgan Chase Bank, N.A. Confidence index for assets
US20080314977A1 (en) * 2006-06-08 2008-12-25 American Express Travel Related Services Company, Inc. Method, System, and Computer Program Product for Customer-Level Data Verification
US9195985B2 (en) * 2006-06-08 2015-11-24 Iii Holdings 1, Llc Method, system, and computer program product for customer-level data verification
US7734545B1 (en) 2006-06-14 2010-06-08 Jpmorgan Chase Bank, N.A. Method and system for processing recurring payments
US10296895B2 (en) 2010-01-08 2019-05-21 Blackhawk Network, Inc. System for processing, activating and redeeming value added prepaid cards
US20080040129A1 (en) * 2006-08-08 2008-02-14 Capital One Financial Corporation Systems and methods for providing a vehicle service management service
US20080040214A1 (en) * 2006-08-10 2008-02-14 Ip Commerce System and method for subsidizing payment transaction costs through online advertising
US11195163B2 (en) * 2006-09-01 2021-12-07 Mastercard International Incorporated Methods, systems and computer readable media for over the air (OTA) provisioning of soft cards on devices with wireless communications capabilities
US8660941B2 (en) * 2006-09-26 2014-02-25 Collections Marketing Center, Inc. Method and system for providing a multi-channel virtual collections center
US8712884B2 (en) * 2006-10-06 2014-04-29 Syncada Llc Transaction finance processing system and approach
US20110029404A1 (en) * 2006-10-06 2011-02-03 Hahn-Carlson Dean W Transaction payables processing system and approach
US8708227B1 (en) 2006-10-31 2014-04-29 United Services Automobile Association (Usaa) Systems and methods for remote deposit of checks
US8682791B2 (en) * 2006-10-31 2014-03-25 Discover Financial Services Redemption of credit card rewards at a point of sale
US8799147B1 (en) 2006-10-31 2014-08-05 United Services Automobile Association (Usaa) Systems and methods for remote deposit of negotiable instruments with non-payee institutions
US7876949B1 (en) 2006-10-31 2011-01-25 United Services Automobile Association Systems and methods for remote deposit of checks
US7873200B1 (en) 2006-10-31 2011-01-18 United Services Automobile Association (Usaa) Systems and methods for remote deposit of checks
US7885451B1 (en) 2006-10-31 2011-02-08 United Services Automobile Association (Usaa) Systems and methods for displaying negotiable instruments derived from various sources
US8351677B1 (en) 2006-10-31 2013-01-08 United Services Automobile Association (Usaa) Systems and methods for remote deposit of checks
US20080120234A1 (en) * 2006-11-17 2008-05-22 American Express Travel Related Services Company, Inc. Variable Revenue Sharing For Multiple Account Payment Instruments
US20080177659A1 (en) * 2007-01-19 2008-07-24 Timothy Douglas Lacey Systems and methods for providing financial processing in conjunction with instant messaging and other communications
US20080183627A1 (en) * 2007-01-29 2008-07-31 American Express Travel Related Services Company, Inc. Filtered healthcare payment card linked to tax-advantaged accounts
US20080189209A1 (en) * 2007-02-05 2008-08-07 First Data Corporation Real-Time Funds Transfer
US9418501B2 (en) * 2007-02-05 2016-08-16 First Data Corporation Method for digital signature authentication of pin-less debit card account transactions
US7916925B2 (en) 2007-02-09 2011-03-29 Jpmorgan Chase Bank, N.A. System and method for generating magnetic ink character recognition (MICR) testing documents
US7949543B2 (en) * 2007-02-13 2011-05-24 Oltine Acquisitions NY LLC Methods, systems, and computer program products for promoting healthcare information technologies to card members
US20080197188A1 (en) * 2007-02-15 2008-08-21 American Express Travel Related Services Company, Inc. Transmission and capture of line-item-detail to assist in transaction substantiation and matching
US8566239B2 (en) * 2007-02-22 2013-10-22 First Data Corporation Mobile commerce systems and methods
US8959033B1 (en) 2007-03-15 2015-02-17 United Services Automobile Association (Usaa) Systems and methods for verification of remotely deposited checks
US10380559B1 (en) 2007-03-15 2019-08-13 United Services Automobile Association (Usaa) Systems and methods for check representment prevention
US8892468B1 (en) * 2007-04-02 2014-11-18 Litle & Co. Customer refunds by a merchant agent
US20080249926A1 (en) * 2007-04-09 2008-10-09 First Data Corporation Collection and reserve systems and methods
US8078531B2 (en) * 2007-04-25 2011-12-13 Pe Systems, Llc Auditing or determining reductions to card-issuer interchange fees
US20080270297A1 (en) * 2007-04-25 2008-10-30 Pe Systems Gathering Information from a Financial Website
US7603312B2 (en) * 2007-04-25 2009-10-13 Pe Systems, Inc. Altering card-issuer interchange categories
US20080301022A1 (en) * 2007-04-30 2008-12-04 Cashedge, Inc. Real-Time Core Integration Method and System
US8538124B1 (en) 2007-05-10 2013-09-17 United Services Auto Association (USAA) Systems and methods for real-time validation of check image quality
US8433127B1 (en) 2007-05-10 2013-04-30 United Services Automobile Association (Usaa) Systems and methods for real-time validation of check image quality
US7953653B2 (en) * 2007-05-16 2011-05-31 Jpmorgan Chase Bank, N.A. System and method for combined reconciliation of co-branded card promotion and settlement of private label card accounts
US20090006135A1 (en) * 2007-06-26 2009-01-01 American Express Travel Related Services Company, Inc. Accelerated Payments for Health Care Plans
US20090006251A1 (en) * 2007-06-28 2009-01-01 American Express Travel Related Services Company, Inc. Universal rollover account
US8676642B1 (en) 2007-07-05 2014-03-18 Jpmorgan Chase Bank, N.A. System and method for granting promotional rewards to financial account holders
US8326758B2 (en) * 2007-08-06 2012-12-04 Enpulz, L.L.C. Proxy card representing many monetary sources from a plurality of vendors
US8788278B2 (en) * 2007-08-28 2014-07-22 Moneygram International, Inc. Consumer database loyalty program for a money transfer system
US20090070246A1 (en) * 2007-09-10 2009-03-12 First Data Corporation Electronic Financial Transaction Routing
US20090076864A1 (en) * 2007-09-14 2009-03-19 Ip Commerce, Inc. System and method for rules-based serialized service transaction processing
US9058512B1 (en) 2007-09-28 2015-06-16 United Services Automobile Association (Usaa) Systems and methods for digital signature detection
US9747598B2 (en) 2007-10-02 2017-08-29 Iii Holdings 1, Llc Dynamic security code push
US8417601B1 (en) 2007-10-18 2013-04-09 Jpmorgan Chase Bank, N.A. Variable rate payment card
US9898778B1 (en) 2007-10-23 2018-02-20 United Services Automobile Association (Usaa) Systems and methods for obtaining an image of a check to be deposited
US9892454B1 (en) 2007-10-23 2018-02-13 United Services Automobile Association (Usaa) Systems and methods for obtaining an image of a check to be deposited
US8358826B1 (en) 2007-10-23 2013-01-22 United Services Automobile Association (Usaa) Systems and methods for receiving and orienting an image of one or more checks
US9159101B1 (en) 2007-10-23 2015-10-13 United Services Automobile Association (Usaa) Image processing
US8001051B1 (en) 2007-10-30 2011-08-16 United Services Automobile Association (Usaa) Systems and methods to modify a negotiable instrument
US7996314B1 (en) 2007-10-30 2011-08-09 United Services Automobile Association (Usaa) Systems and methods to modify a negotiable instrument
US8046301B1 (en) 2007-10-30 2011-10-25 United Services Automobile Association (Usaa) Systems and methods to modify a negotiable instrument
US8407141B2 (en) * 2007-10-30 2013-03-26 Visa U.S.A. Inc. System and method for processing multiple methods of payment
US7996315B1 (en) 2007-10-30 2011-08-09 United Services Automobile Association (Usaa) Systems and methods to modify a negotiable instrument
US8311913B2 (en) 2007-10-30 2012-11-13 Visa U.S.A. Inc. Payment entity account set up for multiple payment methods
US8311937B2 (en) * 2007-10-30 2012-11-13 Visa U.S.A. Inc. Client supported multiple payment methods system
US8374932B2 (en) * 2007-10-30 2013-02-12 Visa U.S.A. Inc. Payment entity device transaction processing using multiple payment methods
US7996316B1 (en) 2007-10-30 2011-08-09 United Services Automobile Association Systems and methods to modify a negotiable instrument
US8311914B2 (en) * 2007-10-30 2012-11-13 Visa U.S.A. Inc. Payment entity for account payables processing using multiple payment methods
US8341046B2 (en) 2007-10-30 2012-12-25 Visa U.S.A. Inc. Payment entity device reconciliation for multiple payment methods
US8320657B1 (en) 2007-10-31 2012-11-27 United Services Automobile Association (Usaa) Systems and methods to use a digital camera to remotely deposit a negotiable instrument
US8290237B1 (en) 2007-10-31 2012-10-16 United Services Automobile Association (Usaa) Systems and methods to use a digital camera to remotely deposit a negotiable instrument
US7896232B1 (en) 2007-11-06 2011-03-01 United Services Automobile Association (Usaa) Systems, methods, and apparatus for receiving images of one or more checks
US7900822B1 (en) 2007-11-06 2011-03-08 United Services Automobile Association (Usaa) Systems, methods, and apparatus for receiving images of one or more checks
US8788324B1 (en) * 2007-12-14 2014-07-22 Amazon Technologies, Inc. Preferred payment type
US10296874B1 (en) * 2007-12-17 2019-05-21 American Express Travel Related Services Company, Inc. System and method for preventing unauthorized access to financial accounts
US8306912B2 (en) * 2007-12-19 2012-11-06 Metabank Private label promotion card system, program product, and associated computer-implemented methods
US8788414B2 (en) * 2007-12-21 2014-07-22 Metabank Transfer account systems, computer program products, and computer-implemented methods to prioritize payments from preselected bank account
US8069085B2 (en) * 2007-12-21 2011-11-29 Metabank System, program product, and associated methods to autodraw for micro-credit attached to a prepaid card
US8818887B2 (en) * 2007-12-21 2014-08-26 Metabank Computer-implemented methods, program product, and system for micro-loan product management
US8583515B2 (en) * 2007-12-21 2013-11-12 Metabank Transfer account systems, computer program products, and associated computer-implemented methods
US8095438B2 (en) * 2007-12-28 2012-01-10 Mastercard International Incorporated Methods and systems for assigning interchange rates to financial transactions using an interchange network
US8622308B1 (en) 2007-12-31 2014-01-07 Jpmorgan Chase Bank, N.A. System and method for processing transactions using a multi-account transactions device
US7766244B1 (en) 2007-12-31 2010-08-03 Jpmorgan Chase Bank, N.A. System and method for processing transactions using a multi-account transactions device
US7958052B2 (en) * 2007-12-31 2011-06-07 Mastercard International Incorporated Methods and systems for cardholder initiated transactions
US8751337B2 (en) * 2008-01-25 2014-06-10 Syncada Llc Inventory-based payment processing system and approach
US10380562B1 (en) 2008-02-07 2019-08-13 United Services Automobile Association (Usaa) Systems and methods for mobile deposit of negotiable instruments
US20090204498A1 (en) * 2008-02-08 2009-08-13 Scott Galit Government Targeted-Spending Stimulus Card System, Program Product, And Computer-Implemented Methods
US20090228391A1 (en) * 2008-02-20 2009-09-10 Trent Sorbe Methods To Advance Loan Proceeds On Prepaid Cards, Associated Systems And Computer Program Products
US20090240567A1 (en) * 2008-02-21 2009-09-24 Micronotes, Llc Interactive marketing system
US10255609B2 (en) 2008-02-21 2019-04-09 Micronotes, Inc. Interactive marketing system
US8554652B1 (en) 2008-02-21 2013-10-08 Jpmorgan Chase Bank, N.A. System and method for providing borrowing schemes
US20090222376A1 (en) * 2008-02-29 2009-09-03 American Express Travel Related Services Company, Inc. Total structural risk model
US20090222380A1 (en) * 2008-02-29 2009-09-03 American Express Travel Related Services Company, Inc Total structural risk model
US20090222373A1 (en) * 2008-02-29 2009-09-03 American Express Travel Related Services Company, Inc. Total structural risk model
US20090222378A1 (en) * 2008-02-29 2009-09-03 American Express Travel Related Services Company, Inc. Total structural risk model
US8458083B2 (en) * 2008-02-29 2013-06-04 American Express Travel Related Services Company, Inc. Total structural risk model
US7814008B2 (en) * 2008-02-29 2010-10-12 American Express Travel Related Services Company, Inc. Total structural risk model
US7849004B2 (en) * 2008-02-29 2010-12-07 American Express Travel Related Services Company, Inc. Total structural risk model
US7853520B2 (en) * 2008-02-29 2010-12-14 American Express Travel Related Services Company, Inc. Total structural risk model
US10515405B2 (en) * 2008-03-03 2019-12-24 Metabank Person-to-person lending program product, system, and associated computer-implemented methods
US20090234748A1 (en) * 2008-03-11 2009-09-17 First Data Corporation Interchange fee notification
WO2009124264A1 (en) * 2008-04-04 2009-10-08 Metabank System, program product, and method for debit card and checking account autodraw
WO2009124270A1 (en) 2008-04-04 2009-10-08 Metabank System, program product, and associated methods to autodraw for micro-credit attached to a prepaid card
US8478637B1 (en) 2008-04-08 2013-07-02 Jpmorgan Chase Bank, N.A. Index for assessing discount potential
US7630937B1 (en) * 2008-04-30 2009-12-08 Intuit Inc. Method and system for processing a financial transaction
US11227331B2 (en) 2008-05-14 2022-01-18 Metabank System, program product, and computer-implemented method for loading a loan on an existing pre-paid card
WO2009140520A1 (en) 2008-05-14 2009-11-19 Metabank A pre-paid card transaction computer to load a loan on a pre-paid card
US8538879B2 (en) * 2008-05-14 2013-09-17 Metabank System, program product, and computer-implemented method for loading a loan on an existing pre-paid card
US8351678B1 (en) 2008-06-11 2013-01-08 United Services Automobile Association (Usaa) Duplicate check detection
US20100005024A1 (en) * 2008-07-02 2010-01-07 Brian Schmitz System and Method for Enrolling Individuals in an Automated Payment Plan
US20100010861A1 (en) * 2008-07-11 2010-01-14 Collections Marketing Center, Llc Method and system for providing a virtual collections call center system
WO2010011685A1 (en) * 2008-07-21 2010-01-28 Syncada Llc Resource-allocation processing system and approach with adaptive-assessment processing
AU2009202923B2 (en) * 2008-07-21 2012-12-13 Syncada Llc Payment processing system and approach with resource pooling
US7685045B1 (en) 2008-07-28 2010-03-23 Dantzler V Lorenzo N Method for maximizing discount rate structure
US8447669B2 (en) 2008-08-26 2013-05-21 Visa U.S.A. Inc. System and method for implementing financial assistance programs
US8422758B1 (en) 2008-09-02 2013-04-16 United Services Automobile Association (Usaa) Systems and methods of check re-presentment deterrent
US7594821B1 (en) 2008-09-17 2009-09-29 Yazaki North America, Inc. Sealing gap formed by assembled connector parts
US8403211B2 (en) * 2008-09-04 2013-03-26 Metabank System, program product and methods for retail activation and reload associated with partial authorization transactions
WO2010028266A1 (en) 2008-09-04 2010-03-11 Metabank System, program product and methods for retail activation and reload associated with partial authorization transactions
US8024242B2 (en) 2008-09-04 2011-09-20 Metabank System, method, and program product for foreign currency travel account
US10504185B1 (en) 2008-09-08 2019-12-10 United Services Automobile Association (Usaa) Systems and methods for live video financial deposit
US7885880B1 (en) 2008-09-30 2011-02-08 United Services Automobile Association (Usaa) Atomic deposit transaction
US7962411B1 (en) 2008-09-30 2011-06-14 United Services Automobile Association (Usaa) Atomic deposit transaction
US8275710B1 (en) 2008-09-30 2012-09-25 United Services Automobile Association (Usaa) Systems and methods for automatic bill pay enrollment
US7974899B1 (en) 2008-09-30 2011-07-05 United Services Automobile Association (Usaa) Atomic deposit transaction
US20100094671A1 (en) * 2008-10-13 2010-04-15 Pe Systems PIN-less Debit Payment Processing
US8391599B1 (en) 2008-10-17 2013-03-05 United Services Automobile Association (Usaa) Systems and methods for adaptive binarization of an image
US7970677B1 (en) 2008-10-24 2011-06-28 United Services Automobile Association (Usaa) Systems and methods for financial deposits by electronic message
US7949587B1 (en) 2008-10-24 2011-05-24 United States Automobile Association (USAA) Systems and methods for financial deposits by electronic message
US8371502B1 (en) 2008-10-28 2013-02-12 Metabank Shopping center gift card offer fulfillment machine, program product, and associated methods
US8682785B2 (en) * 2008-10-30 2014-03-25 Bank Of America Corporation Bank card authorization with balance indicator
US8108977B1 (en) 2008-10-31 2012-02-07 Metabank Machine, methods, and program product for electronic order entry
US8010429B2 (en) 2008-11-04 2011-08-30 American Express Travel Related Services Company, Inc. Customized financial transaction pricing
US9292852B2 (en) 2008-11-08 2016-03-22 FonWallet Transactions Solutions, Inc. System and method for applying stored value to a financial transaction
US8099368B2 (en) * 2008-11-08 2012-01-17 Fonwallet Transaction Solutions, Inc. Intermediary service and method for processing financial transaction data with mobile device confirmation
US9213965B1 (en) 2008-11-26 2015-12-15 Metabank Machine, methods, and program product for electronic inventory tracking
US8117097B2 (en) * 2008-12-10 2012-02-14 Citizens Financial Group, Inc. Method and system for identifying fraudulent account activity
US8175962B2 (en) * 2008-12-18 2012-05-08 Metabank Computerized extension of credit to existing demand deposit accounts, prepaid cards and lines of credit based on expected tax refund proceeds, associated systems and computer program products
US8090649B2 (en) * 2008-12-18 2012-01-03 Metabank Computerized extension of credit to existing demand deposit accounts, prepaid cards and lines of credit based on expected tax refund proceeds, associated systems and computer program products
US8489477B2 (en) * 2009-01-22 2013-07-16 Visa U.S.A. Inc. Prepaid account product peer scoring
US9652761B2 (en) * 2009-01-23 2017-05-16 Boku, Inc. Systems and methods to facilitate electronic payments
US8286863B1 (en) 2009-02-04 2012-10-16 Metabank System and computer program product to issue a retail prepaid card including a user-designed external face using a chit and related computer implemented methods
US8452689B1 (en) 2009-02-18 2013-05-28 United Services Automobile Association (Usaa) Systems and methods of check detection
US9990623B2 (en) * 2009-03-02 2018-06-05 Boku, Inc. Systems and methods to provide information
US10956728B1 (en) 2009-03-04 2021-03-23 United Services Automobile Association (Usaa) Systems and methods of check processing with background removal
US8249244B2 (en) * 2009-03-09 2012-08-21 Nice Systems Ltd. System and method for recording and distributing customer interactions
US10992817B2 (en) 2009-03-18 2021-04-27 Mastercard International Incorporated Methods, systems and computer readable media for selecting and delivering electronic value certificates using a mobile device
US20110060684A1 (en) * 2009-03-25 2011-03-10 Jucht Scott J Machine, program product, and computer-implemented methods for confirming a mobile banking request
US9218603B2 (en) * 2009-05-07 2015-12-22 Gopesh Kumar Method for providing a conference system allowing advisors to offer conference sessions to clients
US20100299220A1 (en) * 2009-05-19 2010-11-25 Boku, Inc. Systems and Methods to Confirm Transactions via Mobile Devices
US9595028B2 (en) * 2009-06-08 2017-03-14 Boku, Inc. Systems and methods to add funds to an account via a mobile communication device
US8542921B1 (en) 2009-07-27 2013-09-24 United Services Automobile Association (Usaa) Systems and methods for remote deposit of negotiable instrument using brightness correction
US9519892B2 (en) 2009-08-04 2016-12-13 Boku, Inc. Systems and methods to accelerate transactions
US9779392B1 (en) 2009-08-19 2017-10-03 United Services Automobile Association (Usaa) Apparatuses, methods and systems for a publishing and subscribing platform of depositing negotiable instruments
US8977571B1 (en) 2009-08-21 2015-03-10 United Services Automobile Association (Usaa) Systems and methods for image monitoring of check during mobile deposit
US8699779B1 (en) 2009-08-28 2014-04-15 United Services Automobile Association (Usaa) Systems and methods for alignment of check during mobile deposit
US20110060636A1 (en) * 2009-09-04 2011-03-10 Bank Of America Targeted customer benefit offers
US8505813B2 (en) * 2009-09-04 2013-08-13 Bank Of America Corporation Customer benefit offer program enrollment
JP2011060649A (en) * 2009-09-11 2011-03-24 Toyota Motor Corp Electrode active material layer, all solid battery, manufacturing method for electrode active material layer, and manufacturing method for all solid battery
US8250582B2 (en) * 2009-09-25 2012-08-21 International Business Machines Corporation Chargeback reduction planning for information technology management
US8515792B2 (en) * 2009-09-25 2013-08-20 International Business Machines Corporation Method and system for chargeback allocation in information technology systems
US20110082737A1 (en) * 2009-09-28 2011-04-07 Crowe Andrew B Computer-implemented methods, computer program products, and systems for management and control of a loyalty rewards network
US20110143710A1 (en) * 2009-12-16 2011-06-16 Boku, Inc. Systems and methods to facilitate electronic payments
US20110153478A1 (en) * 2009-12-18 2011-06-23 Mckay Jerry Device and Method for Settlement Optimization
CA2786264A1 (en) 2010-01-08 2011-07-14 Blackhawk Network, Inc. A system for processing, activating and redeeming value added prepaid cards
US10037526B2 (en) 2010-01-08 2018-07-31 Blackhawk Network, Inc. System for payment via electronic wallet
US20110196790A1 (en) * 2010-02-05 2011-08-11 Milne Benjamin P Transaction processing system
US20110213671A1 (en) * 2010-02-26 2011-09-01 Boku, Inc. Systems and Methods to Process Payments
US20110238550A1 (en) * 2010-03-24 2011-09-29 Joshua Reich Systems and methods for predicting financial behaviors
US8447641B1 (en) 2010-03-29 2013-05-21 Jpmorgan Chase Bank, N.A. System and method for automatically enrolling buyers into a network
US8412617B1 (en) * 2010-04-09 2013-04-02 Alpha Vision Services, Llc Methods and systems related to securities trading
US9129340B1 (en) 2010-06-08 2015-09-08 United Services Automobile Association (Usaa) Apparatuses, methods and systems for remote deposit capture with enhanced image detection
US8364544B2 (en) 2010-06-18 2013-01-29 Prairie Pacific Holdings, LLC Comprehensive online bidding and sales management system for merchant processing services
US8590779B2 (en) 2010-06-29 2013-11-26 Visa International Service Association Value token conversion
KR101903963B1 (en) 2010-08-27 2018-10-05 블랙호크 네트워크, 아이엔씨. Prepaid card with savings feature
US8589288B1 (en) 2010-10-01 2013-11-19 Jpmorgan Chase Bank, N.A. System and method for electronic remittance of funds
WO2012054786A1 (en) 2010-10-20 2012-04-26 Playspan Inc. Flexible monetization service apparatuses, methods and systems
US20120130750A1 (en) * 2010-11-18 2012-05-24 Davidshield L.I.A. (2000) Ltd. Automated insurer insured interactions
US8699994B2 (en) 2010-12-16 2014-04-15 Boku, Inc. Systems and methods to selectively authenticate via mobile communications
US10204327B2 (en) 2011-02-05 2019-02-12 Visa International Service Association Merchant-consumer bridging platform apparatuses, methods and systems
US9953334B2 (en) 2011-02-10 2018-04-24 Visa International Service Association Electronic coupon issuance and redemption apparatuses, methods and systems
CN109118199A (en) 2011-02-16 2019-01-01 维萨国际服务协会 Snap mobile payment device, method and system
US10586227B2 (en) 2011-02-16 2020-03-10 Visa International Service Association Snap mobile payment apparatuses, methods and systems
SG193510A1 (en) 2011-02-22 2013-10-30 Visa Int Service Ass Universal electronic payment apparatuses, methods and systems
WO2012118870A1 (en) 2011-02-28 2012-09-07 Visa International Service Association Secure anonymous transaction apparatuses, methods and systems
US20120226579A1 (en) * 2011-03-01 2012-09-06 Ha Vida Fraud detection based on social data
US9996838B2 (en) 2011-03-04 2018-06-12 Visa International Service Association Cloud service facilitator apparatuses, methods and systems
US8352370B1 (en) 2011-03-28 2013-01-08 Jpmorgan Chase Bank, N.A. System and method for universal instant credit
US20130218765A1 (en) * 2011-03-29 2013-08-22 Ayman Hammad Graduated security seasoning apparatuses, methods and systems
US8543503B1 (en) 2011-03-30 2013-09-24 Jpmorgan Chase Bank, N.A. Systems and methods for automated invoice entry
US8543504B1 (en) 2011-03-30 2013-09-24 Jpmorgan Chase Bank, N.A. Systems and methods for automated invoice entry
WO2012148842A1 (en) 2011-04-26 2012-11-01 Boku, Inc. Systems and methods to facilitate repeated purchases
US9191217B2 (en) 2011-04-28 2015-11-17 Boku, Inc. Systems and methods to process donations
US9830622B1 (en) 2011-04-28 2017-11-28 Boku, Inc. Systems and methods to process donations
US9892419B1 (en) 2011-05-09 2018-02-13 Bank Of America Corporation Coupon deposit account fraud protection system
US8751298B1 (en) 2011-05-09 2014-06-10 Bank Of America Corporation Event-driven coupon processor alert
WO2012155081A1 (en) 2011-05-11 2012-11-15 Visa International Service Association Electronic receipt manager apparatuses, methods and systems
US20120323669A1 (en) * 2011-06-16 2012-12-20 Microsoft Corporation Incentivizing low-transaction-cost payments
US10380605B2 (en) * 2011-06-20 2019-08-13 Ncr Corporation System and method for associating discounts with payment options
US10319174B2 (en) 2011-06-30 2019-06-11 Ncr Corporation System and method for ordering items
US9582598B2 (en) 2011-07-05 2017-02-28 Visa International Service Association Hybrid applications utilizing distributed models and views apparatuses, methods and systems
WO2013006725A2 (en) 2011-07-05 2013-01-10 Visa International Service Association Electronic wallet checkout platform apparatuses, methods and systems
US9355393B2 (en) 2011-08-18 2016-05-31 Visa International Service Association Multi-directional wallet connector apparatuses, methods and systems
US10438176B2 (en) 2011-07-17 2019-10-08 Visa International Service Association Multiple merchant payment processor platform apparatuses, methods and systems
US9710807B2 (en) 2011-08-18 2017-07-18 Visa International Service Association Third-party value added wallet features and interfaces apparatuses, methods and systems
US10825001B2 (en) 2011-08-18 2020-11-03 Visa International Service Association Multi-directional wallet connector apparatuses, methods and systems
US10242358B2 (en) 2011-08-18 2019-03-26 Visa International Service Association Remote decoupled application persistent state apparatuses, methods and systems
US10318941B2 (en) 2011-12-13 2019-06-11 Visa International Service Association Payment platform interface widget generation apparatuses, methods and systems
US9117225B2 (en) 2011-09-16 2015-08-25 Visa International Service Association Apparatuses, methods and systems for transforming user infrastructure requests inputs to infrastructure design product and infrastructure allocation outputs
US10223730B2 (en) 2011-09-23 2019-03-05 Visa International Service Association E-wallet store injection search apparatuses, methods and systems
WO2013050951A1 (en) * 2011-10-03 2013-04-11 Artopay Ltd. Methods and systems of providing transaction terms offers in real time
WO2013056104A1 (en) 2011-10-12 2013-04-18 C-Sam, Inc. A multi-tiered secure mobile transactions enabling platform
US8645270B2 (en) * 2011-10-24 2014-02-04 Paynection Enhanced customer interaction channel systems and methods
EP2774099B1 (en) 2011-11-03 2023-03-01 Mastercard International Incorporated Methods, systems, and computer readable media for provisioning and utilizing an aggregated soft card on a mobile device
US20130151322A1 (en) * 2011-12-08 2013-06-13 Microsoft Corporation Incentive Manager During Online Checkout
US9953378B2 (en) 2012-04-27 2018-04-24 Visa International Service Association Social checkout widget generation and integration apparatuses, methods and systems
US10096022B2 (en) 2011-12-13 2018-10-09 Visa International Service Association Dynamic widget generator apparatuses, methods and systems
CN103177388B (en) * 2011-12-22 2016-12-07 中国银联股份有限公司 For authoring system and for authorization method
US10223710B2 (en) 2013-01-04 2019-03-05 Visa International Service Association Wearable intelligent vision device apparatuses, methods and systems
US10402795B2 (en) 2012-01-05 2019-09-03 Moneygram International, Inc. Prefunding for money transfer send transactions
US10380565B1 (en) 2012-01-05 2019-08-13 United Services Automobile Association (Usaa) System and method for storefront bank deposits
US10262148B2 (en) 2012-01-09 2019-04-16 Visa International Service Association Secure dynamic page content and layouts apparatuses, methods and systems
US11308227B2 (en) 2012-01-09 2022-04-19 Visa International Service Association Secure dynamic page content and layouts apparatuses, methods and systems
AU2013214801B2 (en) 2012-02-02 2018-06-21 Visa International Service Association Multi-source, multi-dimensional, cross-entity, multimedia database platform apparatuses, methods and systems
US9477988B2 (en) 2012-02-23 2016-10-25 American Express Travel Related Services Company, Inc. Systems and methods for identifying financial relationships
US8650120B2 (en) 2012-03-02 2014-02-11 American Express Travel Related Services Company, Inc. Systems and methods for enhanced authorization fraud mitigation
US8620805B2 (en) * 2012-03-27 2013-12-31 Citicorp Credit Services, Inc. Methods and systems for processing payments globally over one of a plurality of processing paths
US11042870B2 (en) 2012-04-04 2021-06-22 Blackhawk Network, Inc. System and method for using intelligent codes to add a stored-value card to an electronic wallet
US9716691B2 (en) 2012-06-07 2017-07-25 Early Warning Services, Llc Enhanced 2CHK authentication security with query transactions
US20140006149A1 (en) * 2012-06-28 2014-01-02 Bank Of America Corporation Notifying customers post-transaction of alternative payment types accepted by a merchant
US8732077B2 (en) * 2012-09-14 2014-05-20 Bank Of America Corporation Notification of alternative payment channel
US9087330B2 (en) 2012-09-14 2015-07-21 Bank Of America Corporation Geography based transaction cost recovery
US9576282B2 (en) 2012-10-15 2017-02-21 Bank Of America Corporation Merchant category code (“MCC”) based acceptance cost recovery
US9691060B2 (en) 2012-10-15 2017-06-27 Bank Of America Corporation Low value based acceptance cost recovery
US10467612B2 (en) 2012-11-19 2019-11-05 Bank Of America Corporation Volume based transaction cost recovery
EP2923325A4 (en) 2012-11-20 2016-08-17 Blackhawk Network Inc System and method for using intelligent codes in conjunction with stored-value cards
US9818266B2 (en) 2012-12-05 2017-11-14 Bank Of America Corporation Remote disabling of target point-of-sale (“POS”) terminals
US8972293B2 (en) 2012-12-05 2015-03-03 Bank Of America Corporation Surcharge auditing
US20140156434A1 (en) * 2012-12-05 2014-06-05 Bank Of America Corporation Surcharge violation registry
US20140164223A1 (en) * 2012-12-12 2014-06-12 Bank Of America Corporation Target financial institution channel migration based on transaction history
US8712855B1 (en) 2012-12-17 2014-04-29 Bank Of America Corporation Transaction cost recovery queue management
US8706554B1 (en) 2012-12-17 2014-04-22 Bank Of America Corporation Transaction cost recovery inventory management
US10552810B1 (en) 2012-12-19 2020-02-04 United Services Automobile Association (Usaa) System and method for remote deposit of financial instruments
US9262756B2 (en) 2013-01-01 2016-02-16 Bank Of America Corporation Point-of-sale (“POS”) controller
US20140244491A1 (en) * 2013-02-22 2014-08-28 Bottomline Technologies (De) Inc. Accelerated payment component for an electronic invoice payment system
US10755245B2 (en) 2013-02-25 2020-08-25 Moneygram International, Inc. Money transfer system having location based language and dynamic receipt capabilities
US11200555B2 (en) * 2013-03-12 2021-12-14 Capital One Services, Llc System and method for auctioning a first-in-wallet payment account status
CN113469670B (en) 2013-07-24 2024-04-05 维萨国际服务协会 System and method for ensuring data transfer risk using tokens
US10192204B2 (en) 2013-08-01 2019-01-29 Moneygram International, Inc. System and method for staging money transfers between users having profiles
US11138578B1 (en) 2013-09-09 2021-10-05 United Services Automobile Association (Usaa) Systems and methods for remote deposit of currency
EP3937108A1 (en) 2013-10-11 2022-01-12 Visa International Service Association Network token system
US9286514B1 (en) 2013-10-17 2016-03-15 United Services Automobile Association (Usaa) Character count determination for a digital image
US9058626B1 (en) 2013-11-13 2015-06-16 Jpmorgan Chase Bank, N.A. System and method for financial services device usage
US10210566B1 (en) * 2014-02-19 2019-02-19 Square, Inc. Online exchange for payment transaction auctions
US9721248B2 (en) 2014-03-04 2017-08-01 Bank Of America Corporation ATM token cash withdrawal
US9883049B1 (en) * 2014-03-26 2018-01-30 Sprint Communications Company L.P. System and method for cell site performance management
US20150302367A1 (en) * 2014-04-18 2015-10-22 Frederic Billou Systems and methods for funding source selection
US10521791B2 (en) 2014-05-07 2019-12-31 Mastercard International Incorporated Systems and methods for communicating liability acceptance with payment card transactions
US11023890B2 (en) 2014-06-05 2021-06-01 Visa International Service Association Identification and verification for provisioning mobile application
US20160012441A1 (en) * 2014-07-14 2016-01-14 Mastercard International Incorporated Method and system for optimizing authenticiation processes in payment transactions
US10395199B1 (en) 2014-10-17 2019-08-27 Jpmorgan Chase Bank, N.A. Method and system for ATM cash servicing and optimization
US9661504B1 (en) 2014-11-25 2017-05-23 Sprint Communications Company L.P. Use of customer impact to prioritize network efforts
US20160224965A1 (en) * 2015-02-04 2016-08-04 International Business Machines Corporation Determining an optimal payment instrument by a cloud-enabled mobile payment service
US11216468B2 (en) 2015-02-08 2022-01-04 Visa International Service Association Converged merchant processing apparatuses, methods and systems
US20160267473A1 (en) * 2015-03-13 2016-09-15 Svetoslav Lazarov Gramenov Method for ranking of currencies in a payment system with a multitude of issuers
US9436938B1 (en) 2015-05-13 2016-09-06 Square, Inc. Transaction payment processing by multiple data centers
US10402790B1 (en) 2015-05-28 2019-09-03 United Services Automobile Association (Usaa) Composing a focused document image from multiple image captures or portions of multiple image captures
US20160371682A1 (en) * 2015-06-19 2016-12-22 Wells Fargo Bank, N.A. Systems and methods for providing variable fee rates for processing a transaction
US10423937B2 (en) * 2015-07-17 2019-09-24 Mastercard International Incorporated Systems and methods for establishing message routing paths through a computer network
US9679426B1 (en) 2016-01-04 2017-06-13 Bank Of America Corporation Malfeasance detection based on identification of device signature
US10373131B2 (en) 2016-01-04 2019-08-06 Bank Of America Corporation Recurring event analyses and data push
US11651341B2 (en) * 2016-01-08 2023-05-16 Worldpay, Llc Multi-platform electronic payment transaction risk profiling
US11164163B1 (en) * 2016-03-24 2021-11-02 Electronic Arts Inc. Performance optimized automated processing and routing system
US10460367B2 (en) 2016-04-29 2019-10-29 Bank Of America Corporation System for user authentication based on linking a randomly generated number to the user and a physical item
US11080714B2 (en) * 2016-05-27 2021-08-03 Mastercard International Incorporated Systems and methods for providing stand-in authorization
US10268635B2 (en) 2016-06-17 2019-04-23 Bank Of America Corporation System for data rotation through tokenization
US10748130B2 (en) 2016-09-30 2020-08-18 Square, Inc. Sensor-enabled activation of payment instruments
US10482468B2 (en) 2016-11-11 2019-11-19 Mastercard International Incorporated Systems and methods of improved electronic messaging
CN106991565A (en) * 2017-01-03 2017-07-28 阿里巴巴集团控股有限公司 The switching method and device of a kind of currency type
CN108346048B (en) 2017-01-23 2020-07-28 阿里巴巴集团控股有限公司 Method for adjusting risk parameters, risk identification method and risk identification device
US10402807B1 (en) 2017-02-28 2019-09-03 Square, Inc. Estimating interchange fees for card payments
US10716060B2 (en) 2017-04-03 2020-07-14 Bank Of America Corporation Data transfer between computing device and user device at different locations and over session or connection to display one or more routing networks to use
US10609156B2 (en) * 2017-04-03 2020-03-31 Bank Of America Corporation Data transfer, over session or connection, and between computing device and server associated with one or more routing networks in response to detecting activity
US10601934B2 (en) 2017-04-03 2020-03-24 Bank Of America Corporation Data transfer, over session or connection, and between computing device and one or more servers for transmitting data to a third party computing device
US20180287927A1 (en) * 2017-04-03 2018-10-04 Bank Of America Corporation Data Transfer, Over Session or Connection, and Between Computing Device and Server to Determine Third Party Routing Network in Response to Determining Request to Use a Different Routing Network
US10608918B2 (en) 2017-04-03 2020-03-31 Bank Of America Corporation Data transfer, over session or connection, and between computing device and one or more servers to determine likelihood of user device using a routing network
US10601718B2 (en) 2017-04-03 2020-03-24 Bank Of America Corporation Data transfer, over session or connection, and between computing device and server associated with a routing network for modifying one or more parameters of the routing network
US10832233B2 (en) 2017-05-19 2020-11-10 Curve 1 Limited Method and system for reversing a selection of a payment method for a specific transaction
US10313480B2 (en) 2017-06-22 2019-06-04 Bank Of America Corporation Data transmission between networked resources
US10524165B2 (en) 2017-06-22 2019-12-31 Bank Of America Corporation Dynamic utilization of alternative resources based on token association
US10511692B2 (en) 2017-06-22 2019-12-17 Bank Of America Corporation Data transmission to a networked resource based on contextual information
CN108629613B (en) * 2017-07-07 2022-04-01 临沂大学 Mobile payment reward information evaluation system and evaluation method
US11216762B1 (en) * 2017-07-13 2022-01-04 Palantir Technologies Inc. Automated risk visualization using customer-centric data analysis
US10922749B1 (en) * 2017-10-26 2021-02-16 Katherine Thome Real-time payment card transaction routing bidding platform
US11030752B1 (en) 2018-04-27 2021-06-08 United Services Automobile Association (Usaa) System, computing device, and method for document detection
US20190342205A1 (en) * 2018-05-02 2019-11-07 SOURCE Ltd. System and method for optimizing routing of transactions over a computer network
US11593793B2 (en) * 2018-06-29 2023-02-28 Ncr Corporation Cryptocurrency payment and refund processing on a transaction terminal
CN109191110B (en) * 2018-07-27 2023-05-23 创新先进技术有限公司 Post-payment transaction data processing method, device, processing equipment and server
EP3867848A4 (en) * 2018-10-18 2022-07-06 Mastercard International Incorporated Card-payment-system back-up processing for failed real-time payment system transaction
JP2020095587A (en) * 2018-12-14 2020-06-18 東芝テック株式会社 Settlement system, server, settlement terminal and control program of settlement terminal
US11887102B1 (en) * 2019-07-31 2024-01-30 Block, Inc. Temporary virtual payment card
JP6768911B1 (en) 2019-11-01 2020-10-14 エヌ・ティ・ティ・コミュニケーションズ株式会社 Payment system and payment method
US20220391966A1 (en) * 2019-11-13 2022-12-08 Voxp Pte. Ltd. Automatically handling electronic orders
US11900755B1 (en) 2020-11-30 2024-02-13 United Services Automobile Association (Usaa) System, computing device, and method for document detection and deposit processing
US20230289750A1 (en) * 2022-03-14 2023-09-14 Fidelity Information Services, Llc Systems and methods for executing real-time electronic transactions by a dynamically determined transfer execution date

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5815657A (en) * 1996-04-26 1998-09-29 Verifone, Inc. System, method and article of manufacture for network electronic authorization utilizing an authorization instrument
US5893080A (en) * 1995-07-25 1999-04-06 Bottomline Technologies, Inc. Disbursement system and method
US5950174A (en) * 1997-04-25 1999-09-07 At&T Corp. Affiliation-based arrangement for billing
US6016484A (en) * 1996-04-26 2000-01-18 Verifone, Inc. System, method and article of manufacture for network electronic payment instrument and certification of payment and credit collection utilizing a payment

Family Cites Families (49)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE2257200A1 (en) 1972-11-22 1974-06-20 Norddeutsche Teilzahlungsbank PROCEDURE FOR CALCULATING CREDIT RISK
US4326259A (en) 1980-03-27 1982-04-20 Nestor Associates Self organizing general pattern class separator and identifier
US4774663A (en) 1980-07-29 1988-09-27 Merrill Lynch, Pierce, Fenner & Smith Incorporated Securities brokerage-cash management system with short term investment proceeds allotted among multiple accounts
US4346442A (en) 1980-07-29 1982-08-24 Merrill Lynch, Pierce, Fenner & Smith Incorporated Securities brokerage-cash management system
US4597046A (en) 1980-10-22 1986-06-24 Merrill Lynch, Pierce Fenner & Smith Securities brokerage-cash management system obviating float costs by anticipatory liquidation of short term assets
US4376978A (en) 1980-07-29 1983-03-15 Merrill Lynch Pierce, Fenner & Smith Securities brokerage-cash management system
JPS59153261A (en) 1983-02-18 1984-09-01 Omron Tateisi Electronics Co Transaction processor
US5025138A (en) 1984-02-27 1991-06-18 Vincent Cuervo Method and system for providing verifiable line of credit information
US4718009A (en) 1984-02-27 1988-01-05 Default Proof Credit Card System, Inc. Default proof credit card method system
US4868866A (en) 1984-12-28 1989-09-19 Mcgraw-Hill Inc. Broadcast data distribution system
US4736294A (en) 1985-01-11 1988-04-05 The Royal Bank Of Canada Data processing methods and apparatus for managing vehicle financing
US4760604A (en) 1985-02-15 1988-07-26 Nestor, Inc. Parallel, multi-unit, adaptive, nonlinear pattern class separator and identifier
US4734564A (en) 1985-05-02 1988-03-29 Visa International Service Association Transaction system with off-line risk assessment
US4812628A (en) 1985-05-02 1989-03-14 Visa International Service Association Transaction system with off-line risk assessment
US4774664A (en) 1985-07-01 1988-09-27 Chrysler First Information Technologies Inc. Financial data processing system and method
US4953085A (en) 1987-04-15 1990-08-28 Proprietary Financial Products, Inc. System for the operation of a financial account
US5210687A (en) 1987-04-16 1993-05-11 L & C Family Partnership Business transaction and investment growth monitoring data processing system
US4989141A (en) 1987-06-01 1991-01-29 Corporate Class Software Computer system for financial analyses and reporting
US5038284A (en) 1988-02-17 1991-08-06 Kramer Robert M Method and apparatus relating to conducting trading transactions with portable trading stations
JPH0219963A (en) 1988-07-08 1990-01-23 Hitachi Ltd Method and system for monitoring real time state
ES2076482T3 (en) 1990-01-30 1995-11-01 Visa Int Service Ass INTERNATIONAL AUTHORIZATION SYSTEM.
US5262941A (en) 1990-03-30 1993-11-16 Itt Corporation Expert credit recommendation method and system
EP0468229A3 (en) 1990-07-27 1994-01-26 Hnc Inc A neural network with expert system functionality
AU8517991A (en) 1990-08-31 1992-03-30 Seer Technologies, Inc. Transaction processor
US5325298A (en) 1990-11-07 1994-06-28 Hnc, Inc. Methods for generating or revising context vectors for a plurality of word stems
US5177342A (en) 1990-11-09 1993-01-05 Visa International Service Association Transaction approval system
US5231570A (en) 1990-12-11 1993-07-27 Lee Gerritt S K Credit verification system
US5274547A (en) 1991-01-03 1993-12-28 Credco Of Washington, Inc. System for generating and transmitting credit reports
US5323315A (en) 1991-08-02 1994-06-21 Vintek, Inc. Computer system for monitoring the status of individual items of personal property which serve as collateral for securing financing
US5239462A (en) 1992-02-25 1993-08-24 Creative Solutions Groups, Inc. Method and apparatus for automatically determining the approval status of a potential borrower
US5446885A (en) 1992-05-15 1995-08-29 International Business Machines Corporation Event driven management information system with rule-based applications structure stored in a relational database
JPH05342191A (en) 1992-06-08 1993-12-24 Mitsubishi Electric Corp System for predicting and analyzing economic time sequential data
US5819226A (en) 1992-09-08 1998-10-06 Hnc Software Inc. Fraud detection using predictive modeling
US5361201A (en) 1992-10-19 1994-11-01 Hnc, Inc. Real estate appraisal using predictive modeling
US5479573A (en) 1992-11-24 1995-12-26 Pavilion Technologies, Inc. Predictive network with learned preprocessing parameters
CA2086269A1 (en) 1992-12-24 1994-06-25 Michael Willis Credit risk assessment system
JPH08507629A (en) 1993-03-09 1996-08-13 キャッツ ソフトウエア インコーポレイテッド Object-oriented system for creating, configuring, manipulating and evaluating financial instruments
US5797133A (en) 1994-08-31 1998-08-18 Strategic Solutions Group, Inc Method for automatically determining the approval status of a potential borrower
US5717923A (en) 1994-11-03 1998-02-10 Intel Corporation Method and apparatus for dynamically customizing electronic information to individual end users
US5679938A (en) 1994-12-02 1997-10-21 Telecheck International, Inc. Methods and systems for interactive check authorizations
US5732400A (en) 1995-01-04 1998-03-24 Citibank N.A. System and method for a risk-based purchase of goods
US5649116A (en) 1995-03-30 1997-07-15 Servantis Systems, Inc. Integrated decision management system
WO1996030850A1 (en) 1995-03-30 1996-10-03 Hogan Systems, Inc. Method of and system for determining and assessing credit risks
WO1997000483A1 (en) 1995-06-15 1997-01-03 Fraudetect, L.L.C. Process and apparatus for detecting fraud
US5719918A (en) 1995-07-06 1998-02-17 Newnet, Inc. Short message transaction handling system
US5845267A (en) * 1996-09-06 1998-12-01 At&T Corp System and method for billing for transactions conducted over the internet from within an intranet
US6119103A (en) * 1997-05-27 2000-09-12 Visa International Service Association Financial risk prediction systems and methods therefor
US6061665A (en) * 1997-06-06 2000-05-09 Verifone, Inc. System, method and article of manufacture for dynamic negotiation of a network payment framework
US6118860A (en) * 1997-09-12 2000-09-12 Nortel Networks Corporation Public communications services vending method and apparatus

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5893080A (en) * 1995-07-25 1999-04-06 Bottomline Technologies, Inc. Disbursement system and method
US5815657A (en) * 1996-04-26 1998-09-29 Verifone, Inc. System, method and article of manufacture for network electronic authorization utilizing an authorization instrument
US6016484A (en) * 1996-04-26 2000-01-18 Verifone, Inc. System, method and article of manufacture for network electronic payment instrument and certification of payment and credit collection utilizing a payment
US5950174A (en) * 1997-04-25 1999-09-07 At&T Corp. Affiliation-based arrangement for billing

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
SG137650A1 (en) * 2002-07-19 2007-12-28 Mok Beatrice Method for rewarding customer loyalty with respect to a lease agreement
JP2008529103A (en) * 2004-08-16 2008-07-31 アガーワル,サンジブ Computerized processing for differentiated incentives based on payment mode
WO2007065209A1 (en) * 2005-12-06 2007-06-14 Layby Pty Ltd Method and system for selling items via a data communications network
US20210192488A1 (en) * 2016-01-25 2021-06-24 Freelancer Technology Pty Limited Adaptive gateway switching system

Also Published As

Publication number Publication date
US6999943B1 (en) 2006-02-14
AU2001243530A1 (en) 2001-09-24

Similar Documents

Publication Publication Date Title
US6999943B1 (en) Routing methods and systems for increasing payment transaction volume and profitability
US8781960B2 (en) Computerized method to accept and settle cash transaction payments
US8612344B2 (en) Online processing for offshore business transactions
US8738451B2 (en) System, program product, and method for debit card and checking account autodraw
US8666886B2 (en) System, program product, and method for debit card and checking account autodraw
US7107249B2 (en) Electronic identifier payment systems and methods
US8429079B1 (en) Overdraft protection and forgiveness
US8234215B2 (en) Method for prepaid debit card with overdraft capabilities
US20150154572A1 (en) Apparatus, system, and method for extracting real world value from a virtual account
US20010044756A1 (en) Payroll deduction system and method including provision for financing and dispute resolution
US20070061206A1 (en) System and method for providing rapid rebate payments
US20060122932A1 (en) Efficient and incentivized enrollment in an automatic payment program for recurring bills
US20070175984A1 (en) Open-loop gift card system and method
US20120215605A1 (en) System and method for providing a user with a single payment card on which prepaid and/or reward balances are tracked for multiple merchants
US20050021455A1 (en) On-line payments system
US20170200158A1 (en) Methods and Apparatus for Facilitating a Financial Transaction
US7747528B1 (en) System and method for delaying payment processing for biometrically-initiated financial transactions
US20060277146A1 (en) Electronic identifier payment systems and methods
WO2006020218A2 (en) Future check financing method
US20190378137A1 (en) Methods and apparatus for facilitating a financial transaction
KR20080054370A (en) Method and apparatus for payment without payment card infrastructure
KR102160676B1 (en) Card sales win-win managing and calculating system for small business owners
Chakravorti Linkages between consumer payments and credit
KR20210155502A (en) Method of transaction for supplier's account receivable

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A1

Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NO NZ PL PT RO RU SD SE SG SI SK SL TJ TM TR TT TZ UA UG UZ VN YU ZA ZW

AL Designated countries for regional patents

Kind code of ref document: A1

Designated state(s): GH GM KE LS MW MZ SD SL SZ TZ UG ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE TR BF BJ CF CG CI CM GA GN GW ML MR NE SN TD TG

121 Ep: the epo has been informed by wipo that ep was designated in this application
DFPE Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101)
122 Ep: pct application non-entry in european phase
NENP Non-entry into the national phase

Ref country code: JP