CA2400686A1 - Disaggregated databases for tracking consumer purchasing data - Google Patents
Disaggregated databases for tracking consumer purchasing data Download PDFInfo
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- CA2400686A1 CA2400686A1 CA002400686A CA2400686A CA2400686A1 CA 2400686 A1 CA2400686 A1 CA 2400686A1 CA 002400686 A CA002400686 A CA 002400686A CA 2400686 A CA2400686 A CA 2400686A CA 2400686 A1 CA2400686 A1 CA 2400686A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0238—Discounts or incentives, e.g. coupons or rebates at point-of-sale [POS]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0239—Online discounts or incentives
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0267—Wireless devices
Abstract
Published without an
Description
Disaggregated Databases For Tracking Consumer Purchasing Data Technical Field The present invention relates to tracking consumer purchasing data and preferences in a retail environment by a provider of products or services. More particularly, the present invention relates to the assembly of individual databases of consumer purchasing data and preferences for individual consumers, the extraction of the consumer purchasing data and preferences from the individual databases by a terminal device, analysis of the extracted purchasing data and preferences at a collection center controlled by the provider, and communication of customized information to one or more of the individual consumers based on the analysis of the extracted purchasing data and preferences.
Background Of The Invention Conventional market tracl~ing involves the collection of consumer data for the purpose of determining what product attributes and advertising message will appeal to the greatest cross-section of the intended consumers. The promotion of the product is based on acquiring as much data as possible about the consumers so that the product and promotion can be tailored to attract the greatest number of consumers for the product. Such a method of marketing a product is by it very nature impersonal. Promotions are therefore not necessarily tailored to the individual consumer. For example, offering a purchasing incentive to an entire population of consumers may provide great incentive to some consumers but very little incentive others.
Accordingly, there exists a need for a system and method for tracking individual consumer's purchasing habits so that promotions and incentives can be tailored on an individual basis.
Summary Of The Invention The present invention meets the above described needs by providing a method and system for tracking consumer purchasing data by 3 5 assembling individual or disaggregated databases of consumer purchasing data and preferences for individual consumers relating to a product or service offered for sale by a provider, extracting the consumer purchasing data and preferences from the individual databases of the consumers by a terminal device, analyzing the extracted purchasing data and preferences at a collection center controlled by the provider of the products or services, and communicating customized information to one or more of the individual consumers based on the analysis of the extracted purchasing data and preferences. In connection with the present invention, the term "disaggregated databases" means individual databases that are completely separate physically and logically. Moreover, access is controlled completely by the individual consumer who remains the owner of his or her data and is responsible for its accuracy.
The communication of customized information from the provider back to the consumer in accordance with the method and system of the present invention forges a direct connection between the consumer and the provider of the goods or services. The method and system creates that direct connection by coordinating four devices or subsystems connected by three communication channels. The four devices are: (1) a product or service identifier device; (2) a personal data acquisition device; (3) a terminal device;
and (4) a collection center controlled by the provider of the products or services. Intelligent point of sale equipment may also be utilized in conjunction with the product identifier device and provide sales transaction .
data to the personal data acquisition device.
The product or service identifier device has the ability to communicate with the personal data acquisition device and identify the product or service and the attributes of the product or service to the personal data acquisition device. For example, each product or service is assigned a unique serial number. The identifier device communicates the serial number to the personal data acquisition device. The identifier device, for example, could be a computer readable medium, an RFI tag, a bar code label, or alphanumeric characters on a printed label attached to a product or associated with a service such as on an invoice. In addition, the identifier device communicates attributes about the product or service to the personal data acquisition device.
Such attributes might include the size or price of the product. The identifier device in conjunction with point of sale equipment can also communicate details of the sales transaction for the product or service to the personal data acquisition device at the point of sale. Such data might include the time, date, location, selling price, etc.
Background Of The Invention Conventional market tracl~ing involves the collection of consumer data for the purpose of determining what product attributes and advertising message will appeal to the greatest cross-section of the intended consumers. The promotion of the product is based on acquiring as much data as possible about the consumers so that the product and promotion can be tailored to attract the greatest number of consumers for the product. Such a method of marketing a product is by it very nature impersonal. Promotions are therefore not necessarily tailored to the individual consumer. For example, offering a purchasing incentive to an entire population of consumers may provide great incentive to some consumers but very little incentive others.
Accordingly, there exists a need for a system and method for tracking individual consumer's purchasing habits so that promotions and incentives can be tailored on an individual basis.
Summary Of The Invention The present invention meets the above described needs by providing a method and system for tracking consumer purchasing data by 3 5 assembling individual or disaggregated databases of consumer purchasing data and preferences for individual consumers relating to a product or service offered for sale by a provider, extracting the consumer purchasing data and preferences from the individual databases of the consumers by a terminal device, analyzing the extracted purchasing data and preferences at a collection center controlled by the provider of the products or services, and communicating customized information to one or more of the individual consumers based on the analysis of the extracted purchasing data and preferences. In connection with the present invention, the term "disaggregated databases" means individual databases that are completely separate physically and logically. Moreover, access is controlled completely by the individual consumer who remains the owner of his or her data and is responsible for its accuracy.
The communication of customized information from the provider back to the consumer in accordance with the method and system of the present invention forges a direct connection between the consumer and the provider of the goods or services. The method and system creates that direct connection by coordinating four devices or subsystems connected by three communication channels. The four devices are: (1) a product or service identifier device; (2) a personal data acquisition device; (3) a terminal device;
and (4) a collection center controlled by the provider of the products or services. Intelligent point of sale equipment may also be utilized in conjunction with the product identifier device and provide sales transaction .
data to the personal data acquisition device.
The product or service identifier device has the ability to communicate with the personal data acquisition device and identify the product or service and the attributes of the product or service to the personal data acquisition device. For example, each product or service is assigned a unique serial number. The identifier device communicates the serial number to the personal data acquisition device. The identifier device, for example, could be a computer readable medium, an RFI tag, a bar code label, or alphanumeric characters on a printed label attached to a product or associated with a service such as on an invoice. In addition, the identifier device communicates attributes about the product or service to the personal data acquisition device.
Such attributes might include the size or price of the product. The identifier device in conjunction with point of sale equipment can also communicate details of the sales transaction for the product or service to the personal data acquisition device at the point of sale. Such data might include the time, date, location, selling price, etc.
The personal data acquisition device is any device that can acquire and store the identity and attributes of the product or service from the identifier device. The personal data acquisition device also can acquire and store details of the sales transaction involving the product or service from the point of sale equipment. In addition, the consumer may also manually input purchase data and preferences into the personal data acquisition device. Such personal data acquisition devices might include, without limit, an RFI (radio frequency information) tag reader with memory, a bar code scanner with memory, a personal digital assistant, a personal computer, a pager, or a cellular telephone with a data acquisition and storage capabilities. The ideal personal data acquisition device is portable, is always with the consumer, and has built in communications capabilities.
The terminal device is the device where the personal data acquisition device is accessed by the product or service provider to extract the purchasing data and preferences from the personal data acquisition device and to communicate customized information back to the personal data acquisition device. The terminal device can occupy a variety of locations including ATM
machines, vending machines, point of sale equipment, or a network terminal such as a telephone or a computer modem. Whatever the location of the terminal device, the terminal device communicates with the personal acquisition device, extracts the purchasing data and preferences, downloads the purchasing data and preferences from the individual database of the personal acquisition device to the collection center, and communicates customized information back to the consumer's personal data acquisition device.
The collection center is typically a centrally located general purpose digital computer which is capable of receiving purchasing data and preferences from the personal acquisition devices via the terminal device and processing the received purchasing data and preferences. The computer handles various management tasks in connection with the operation of the method and system for traclcing individual purchasing data and preferences, such as, assigning serial numbers to products or services, fraud detection, security, etc. In connection with processing the received purchasing data and preferences, the computer at the collection center has software, which allows it to build an inferred marketing database from the actual purchasing data and 3 5 preferences received. The inferred marketing database is not the sum of all of the individual databases. Instead the inferred marketing database represents a section across or through the individual consumer databases. By taking samples or slices of the individual consumer databases over short periods of time, the inferred marketing database resembles the sum of all of the individual consumer databases. Over time, this estimate will grow more accurate until the differences would be negligible, but the marketing database would still be inferred.
'The provider can then instruct the collection center computer to use the inferred database in connection with ordinary marketing analysis and projections. In addition, the collection center computer can generate customized messages and information directed to one or more individual consumers based on the purchasing data and preferences received from the personal data acquisition devices via the terminal devices. The consumer's preferences will be used to modify the format and language used in communicating with the individual consumer. Depending on the sophistication of the personal data acquisition devices and the terminal devices, the customized information may be used for a number of purposes including offering additional purchasing opportunities, discounts on future purchase, access to events, or other marketing offers and incentives that are customized to the individual consumer based on the individual consumer's purchasing data and preferences.
The method and system of the present invention provide a direct connection to the consumer which gives the provider of the products or services the ability to focus its promotions and incentives on an individual level instead on a mass marketing level. The direct connection produces a more efficient and focused marketing of products and services.
Brief Description Of The Drawings FIG. 1 is a pictorial diagram illustrating a system for tracking consumer purchasing data for a consumer product or service using a distributed database.
FIG. 2 is a flow chart illustrating a method of for tracking consumer purchasing data for a consumer product or service using a distributed database.
FTG. 3 is a flow chart illustrating the assembly step of Fig. 2.
FIG. 4 is a flow chart illustrating the extraction step of Fig 2.
The terminal device is the device where the personal data acquisition device is accessed by the product or service provider to extract the purchasing data and preferences from the personal data acquisition device and to communicate customized information back to the personal data acquisition device. The terminal device can occupy a variety of locations including ATM
machines, vending machines, point of sale equipment, or a network terminal such as a telephone or a computer modem. Whatever the location of the terminal device, the terminal device communicates with the personal acquisition device, extracts the purchasing data and preferences, downloads the purchasing data and preferences from the individual database of the personal acquisition device to the collection center, and communicates customized information back to the consumer's personal data acquisition device.
The collection center is typically a centrally located general purpose digital computer which is capable of receiving purchasing data and preferences from the personal acquisition devices via the terminal device and processing the received purchasing data and preferences. The computer handles various management tasks in connection with the operation of the method and system for traclcing individual purchasing data and preferences, such as, assigning serial numbers to products or services, fraud detection, security, etc. In connection with processing the received purchasing data and preferences, the computer at the collection center has software, which allows it to build an inferred marketing database from the actual purchasing data and 3 5 preferences received. The inferred marketing database is not the sum of all of the individual databases. Instead the inferred marketing database represents a section across or through the individual consumer databases. By taking samples or slices of the individual consumer databases over short periods of time, the inferred marketing database resembles the sum of all of the individual consumer databases. Over time, this estimate will grow more accurate until the differences would be negligible, but the marketing database would still be inferred.
'The provider can then instruct the collection center computer to use the inferred database in connection with ordinary marketing analysis and projections. In addition, the collection center computer can generate customized messages and information directed to one or more individual consumers based on the purchasing data and preferences received from the personal data acquisition devices via the terminal devices. The consumer's preferences will be used to modify the format and language used in communicating with the individual consumer. Depending on the sophistication of the personal data acquisition devices and the terminal devices, the customized information may be used for a number of purposes including offering additional purchasing opportunities, discounts on future purchase, access to events, or other marketing offers and incentives that are customized to the individual consumer based on the individual consumer's purchasing data and preferences.
The method and system of the present invention provide a direct connection to the consumer which gives the provider of the products or services the ability to focus its promotions and incentives on an individual level instead on a mass marketing level. The direct connection produces a more efficient and focused marketing of products and services.
Brief Description Of The Drawings FIG. 1 is a pictorial diagram illustrating a system for tracking consumer purchasing data for a consumer product or service using a distributed database.
FIG. 2 is a flow chart illustrating a method of for tracking consumer purchasing data for a consumer product or service using a distributed database.
FTG. 3 is a flow chart illustrating the assembly step of Fig. 2.
FIG. 4 is a flow chart illustrating the extraction step of Fig 2.
Detailed Description Of Exemplary Embodiments Exemplary embodiments of the present invention will hereinafter be described with reference to the drawings, in which like numerals indicate like elements throughout the several figures. The present invention is a method and system for tracking consumer purchasing data using distributed databases. The invention operates within the environment whexe the provider of a product or a service offers that product or service to individual consumers.
For the purposes of the following description and the appended claims the term "products" shall mean both products and services of all kinds offered by the provider of pxoducts or services to consumers.
The Distributed Database Tracking System Turning to Fig. 1, a distributed database tracking system 100 of the present invention for tracking purchasing data is shown with its component parts. The tracking system 100 is configured to enable a provider 102 of a product 104 to track the purchasing data and preferences for a consumer 106 of the product 104. The tracking system 100 comprises a product identifier device 108, a personal data acquisition device 110 for assembling a personal, individual disaggregated database 124, a terminal device 112, a collection center 114, point of sale equipment 130, and communication links 116, 118, 120, and 122.
The tracking system 100 begins tracking the individual consumer's purchasing data when the consumer 106 purchases the product 104 from provider 102 through provider's normal retail distribution 134. The consumer has in his or her possession the personal data acquisition device 110.
When the product 104 is purchased or consumed, the product identifier device 108 transmits the identity of the product 104 to the data acquisition device via communication link 116. In addition, the point of sale equipment 130 may also transmit sales transaction data to the data acquisition device 110. The data acquisition device 110 acquires and stores the product identify and the sales transaction data from which the data acquisition device 110 can build a personal disaggregated database 124 fox the consumer 106. The disaggregated database 124 also includes personal or preference data entered into the personal data acquisition device 110 by the consumer 106.
As the consumer 106 moves about, he or she will eventually encounter a terminal device 112, and the communication link 118 will be established. The terminal device 112 is programmed from the collection center 114 via communication link 122 to poll the personal data acquisition device 110 and extract part or all of the purchasing data and preferences from the disaggregated database 124 stored in the personal data acquisition device 110.
The polling process may also clear extracted purchasing data from the S consumer's personal database 124 in the personal data acquisition device 110.
Once the requested purchasing data and preferences have been extracted by the terminal device 112 from the database 124, the purchasing data and preferences are transmitted via communication link 122 to the collection center 114 which is controlled by the provider 102 of the consumer product 104.
The collection center 114 includes a general purpose digital computer 126 that has been programmed to analyze the purchasing data and preferences received from the consumer 106 as well as other consumers of the product 104. In connection with that analysis, the collection center builds an inferred marketing database. The inferred marketing database is not the sum of all the individual disaggregated databases 124. Instead the inferred marketing database is a section across or through the disaggregated databases 124. Thus over a short pexiod of time the inferred marketing database will resemble the entirety of the disaggregated databases 124. Over a longer period of time the inferred marketing database will more closely resemble the entirety of the disaggregated databases 124.
The inferred marketing database is produced by using conventional filters and inference engines. In general, a filter is a software program that contains a set of conditions. If the conditions of the filter are met, a dependent change or changes occur in another software program. In the present invention, the collection center computer may collect only data from the disaggregated databases 124 of the consumers that match the filter conditions. For example, the filter might allow collection of only the data for one product or only the data for a particular time range. In general, an inference engine is a software program that, through artiftcial intelligence, can deduce a likely outcome from a set of data. For example, the collection center computer using a filter might collect consumption data from the disaggregated databases 124 of the consumers, including age, brand, and frequency of consumption. From that data, the inference engine may deduce that the entixe population engages in the same frequency of consumption for the brand. As 3 S the inference engine gathers more and more data, it can revise its deduction to match the more recently acquired data.
For the purposes of the following description and the appended claims the term "products" shall mean both products and services of all kinds offered by the provider of pxoducts or services to consumers.
The Distributed Database Tracking System Turning to Fig. 1, a distributed database tracking system 100 of the present invention for tracking purchasing data is shown with its component parts. The tracking system 100 is configured to enable a provider 102 of a product 104 to track the purchasing data and preferences for a consumer 106 of the product 104. The tracking system 100 comprises a product identifier device 108, a personal data acquisition device 110 for assembling a personal, individual disaggregated database 124, a terminal device 112, a collection center 114, point of sale equipment 130, and communication links 116, 118, 120, and 122.
The tracking system 100 begins tracking the individual consumer's purchasing data when the consumer 106 purchases the product 104 from provider 102 through provider's normal retail distribution 134. The consumer has in his or her possession the personal data acquisition device 110.
When the product 104 is purchased or consumed, the product identifier device 108 transmits the identity of the product 104 to the data acquisition device via communication link 116. In addition, the point of sale equipment 130 may also transmit sales transaction data to the data acquisition device 110. The data acquisition device 110 acquires and stores the product identify and the sales transaction data from which the data acquisition device 110 can build a personal disaggregated database 124 fox the consumer 106. The disaggregated database 124 also includes personal or preference data entered into the personal data acquisition device 110 by the consumer 106.
As the consumer 106 moves about, he or she will eventually encounter a terminal device 112, and the communication link 118 will be established. The terminal device 112 is programmed from the collection center 114 via communication link 122 to poll the personal data acquisition device 110 and extract part or all of the purchasing data and preferences from the disaggregated database 124 stored in the personal data acquisition device 110.
The polling process may also clear extracted purchasing data from the S consumer's personal database 124 in the personal data acquisition device 110.
Once the requested purchasing data and preferences have been extracted by the terminal device 112 from the database 124, the purchasing data and preferences are transmitted via communication link 122 to the collection center 114 which is controlled by the provider 102 of the consumer product 104.
The collection center 114 includes a general purpose digital computer 126 that has been programmed to analyze the purchasing data and preferences received from the consumer 106 as well as other consumers of the product 104. In connection with that analysis, the collection center builds an inferred marketing database. The inferred marketing database is not the sum of all the individual disaggregated databases 124. Instead the inferred marketing database is a section across or through the disaggregated databases 124. Thus over a short pexiod of time the inferred marketing database will resemble the entirety of the disaggregated databases 124. Over a longer period of time the inferred marketing database will more closely resemble the entirety of the disaggregated databases 124.
The inferred marketing database is produced by using conventional filters and inference engines. In general, a filter is a software program that contains a set of conditions. If the conditions of the filter are met, a dependent change or changes occur in another software program. In the present invention, the collection center computer may collect only data from the disaggregated databases 124 of the consumers that match the filter conditions. For example, the filter might allow collection of only the data for one product or only the data for a particular time range. In general, an inference engine is a software program that, through artiftcial intelligence, can deduce a likely outcome from a set of data. For example, the collection center computer using a filter might collect consumption data from the disaggregated databases 124 of the consumers, including age, brand, and frequency of consumption. From that data, the inference engine may deduce that the entixe population engages in the same frequency of consumption for the brand. As 3 S the inference engine gathers more and more data, it can revise its deduction to match the more recently acquired data.
Further analysis of the inferred marketing database may include standard marketing analysis of purchasing data and consumer preferences. In addition, and in accordance with the present invention, the disaggregated database 124 and the purchasing data and preferences extracted therefrom allows the computer 126 to generate customized information that will be of particular interest to the individual consumer 106. The customized information may take the form of a personal message that communicates purchasing opportunities or promotions for the consumer 106. The customized information is then sent to the consumer 106 via communications links 122 and 1 I8. The tracking system 100 may have one or more collection centers 1 I4.
Data Acquisition Device The data acquisition device 110 can take on a number of embodiments within the tracking system 100. The data acquisition device 110 has three primary attributes. Fixst, the data acquisition device I10 should be portable and easily carned by the consumer 106 at all times. Second, the data acquisition device 110 must be able to acquire purchasing data and consumer preferences including product identification data and sales transaction data for the consumer 106 and store that purchasing data in the individual database 124.
Third, the data acquisition device must be able to respond to queries from the terminal device 112 and download all or part of the database 124 to the terminal device 112. The data acquisition device 110 can be, for example, an RFI tag, a magnetic medium, an RFI fag reader with memory, a magnetic medium reader with memory, a bar code reader with memory, a digital computer, such as a personal digital assistant (PDA), a pager, or a cellular telephone that is capable of acquiring and storing purchasing data and preferences for consumer 106. The tracking system 100, in some cases, may incorporate the terminal device 112 into the data acquisition device 110. For example, a cellular telephone could receive product identification data from the product identifier 108 and sales transaction data from the point of sale equipment 130 via radio frequency (RF) communication links 116 and 120.
Periodically or on demand from the collection center 114, the cellular telephone, serving as a terminal device, could transmit all or part of the database 124 directly to the collection center 114.
Data Acquisition Device The data acquisition device 110 can take on a number of embodiments within the tracking system 100. The data acquisition device 110 has three primary attributes. Fixst, the data acquisition device I10 should be portable and easily carned by the consumer 106 at all times. Second, the data acquisition device 110 must be able to acquire purchasing data and consumer preferences including product identification data and sales transaction data for the consumer 106 and store that purchasing data in the individual database 124.
Third, the data acquisition device must be able to respond to queries from the terminal device 112 and download all or part of the database 124 to the terminal device 112. The data acquisition device 110 can be, for example, an RFI tag, a magnetic medium, an RFI fag reader with memory, a magnetic medium reader with memory, a bar code reader with memory, a digital computer, such as a personal digital assistant (PDA), a pager, or a cellular telephone that is capable of acquiring and storing purchasing data and preferences for consumer 106. The tracking system 100, in some cases, may incorporate the terminal device 112 into the data acquisition device 110. For example, a cellular telephone could receive product identification data from the product identifier 108 and sales transaction data from the point of sale equipment 130 via radio frequency (RF) communication links 116 and 120.
Periodically or on demand from the collection center 114, the cellular telephone, serving as a terminal device, could transmit all or part of the database 124 directly to the collection center 114.
The Product Identifier Device The product identifier device 108 identifies the product purchased or consumed by the consumer 106. The product identifier device 108 identifies the product to the data acquisition device 110. The product identifier device 108 can be, for example, a magnetic medium, a magnetic medium write device, an RfI tag, an RFI tag transmitter device, a bar code label, a compact disk, a DVD disk, a hologram, or an alpha numeric serial number label. The product identifier device 108 is attached to the product by the provider 102 of the product 104. The product identifier 108 is activated either at the time of purchase or when the product is consumed by the consumer 106. Alternatively the product identifier device 108 is merely scanned by the data acquisition device 110 at the time of purchase or consumption.
The Point Of Sale Equipment The point of sale equipment 130 processes the sale transaction when the consumer 106 buys the product 104. At the time of the sale, the point of sale equipment 130 transmits sales transaction data to the data acquisition device 110 via communication link 120. The point of sale equipment 130 can be, for example, a magnetic medium write device or an 1RFI tag transmitter device. The sales transaction data transmitted by the point of sale equipment 130 to the data acquisition device 110 supplements the database 124 with additional information about the sale of the product 104 to the consumer 106 such as time and date of sale, selling price, sales location, etc. Such sales transaction data may be useful to the collection center 114 in producing the customized information for the consumer 106.
The point of sale equipment 130 may also have a user interface 132, such as a display screen, printer, and/or speakers to communicate with the consumer 106 directly. In that regard, the point of sale equipment may include a magnetic medium reader, an RFI tag reader or 1tF receiver. When a consumer is in the vicinity of the point of sale equipment, the point of sale equipment receives information from the consumer's data acquisition device 110, which allows the point of sale equipment 130 to generate a greeting to the consumer 106 via the user interface 132.
The Point Of Sale Equipment The point of sale equipment 130 processes the sale transaction when the consumer 106 buys the product 104. At the time of the sale, the point of sale equipment 130 transmits sales transaction data to the data acquisition device 110 via communication link 120. The point of sale equipment 130 can be, for example, a magnetic medium write device or an 1RFI tag transmitter device. The sales transaction data transmitted by the point of sale equipment 130 to the data acquisition device 110 supplements the database 124 with additional information about the sale of the product 104 to the consumer 106 such as time and date of sale, selling price, sales location, etc. Such sales transaction data may be useful to the collection center 114 in producing the customized information for the consumer 106.
The point of sale equipment 130 may also have a user interface 132, such as a display screen, printer, and/or speakers to communicate with the consumer 106 directly. In that regard, the point of sale equipment may include a magnetic medium reader, an RFI tag reader or 1tF receiver. When a consumer is in the vicinity of the point of sale equipment, the point of sale equipment receives information from the consumer's data acquisition device 110, which allows the point of sale equipment 130 to generate a greeting to the consumer 106 via the user interface 132.
The Terminal Device The terminal device 112 polls the data acquisition device 110 and downloads part or all of the purchasing data and preferences from the database 124. The polling is undertaken by the terminal device 112 in response to the data acquisition device 110 coming into the vicinity of the terminal device 112. The terminal device 112 downloads the purchasing data and preferences for the database 124 in accordance with instructions from the collection center 114.
The terminal device 112 can be, for example, a magnetic media write device or an RFI tag transmitter device. The terminal device 112 can be located at the point of sale or at other locations. If the data acquisition device 110 is an RFI tag, for example, the terminal device 112 will contain an RFI
tag reader which will read the database 124 stored by the ItFI tag via communications link 118. Alternatively, the terminal device 112 may be a magnetic medium reader which reads the magnetic medium on a card or the like which serves as the data acquisition device 110.
Once the purchasing data and preferences are downloaded from the data acquisition device 110 by the terminal device 112, the terminal device 112 transmits the purchasing data and preferences to the collection center 114 via communication link 122. As previously, stated, the terminal device l I2 can be incorporated physically into the data acquisition device 110.
Data Collection Center 'The data collection center 114 is associated with the product provider 102 and is generally under the control of the provider 102. One or more data collection centers may be utilized in connection with the pxesent invention. The data collection center 114 uses the general purpose digital computer 126 to receive purchasing data and preferences, build an inferred marketing database from the purchasing data and preferences, analyze the inferred marketing database, create customized information fox individual consumers, and send such customized information to the individual consumers.
In connection with building the inferred marketing database, the computer I26 can combine purchasing data and preferences from a number of consumers. From the inferred marketing database, the computer I26 can determine market trends in conventional fashion. In addition, the computer can analyze the purchasing data and preferences from an individual consumer, such as consumer 106, and generate custom messages for such individual consumer.
For example, the computer 126 could determine that the consumer 106 purchases a certain soft drink sold by the provider 102 more frequently than other brands. As a consequence, the provider could instruct the computer 106 to offer the consumer 106 a discount on purchases of that soft drink.
Alternatively, the provider 102 could offer other incentives to induce the consumer 106 to purchase other products or services that are related to the consumer's purchasing patterns and preferences.
Once an incentive or other information relevant to the consumer has been generated from analyzing the consumer's purchasing data and preferences, the computer 126 sends that customized information to the consumer 106 via communications link 122, terminal device 112, communications link 118, and data acquisition device 110.
The Communication Links The communications links 116, 118, 120, and 122 connect the various elements of the purchasing data tracking system 100 together. The communication links can take a number of forms. The communications link 116 between the product identifier 108 and the data acquisition device 110 is preferably a wireless communications link and may be an RF, infrared, or magnetic link. Similarly, the communication link 120 from the data acquisition device 110 to the point of sale equipment 130 is preferably a wireless link and may be RF, infrared, or magnetic links. The communication link 118 from the data acquisition device 110 to the terminal device 112 may be a wired link when the terminal device is physically incorporated in to the data acquisition device 1 I0, or the communication link 118 may be a wireless link such as RF, infrared, or magnetic links. The communication link 122 from the computer I26 of the collection center 114 to the terminal device I 12 may be either a wireless or a wired link. A local area or wide area wired network may be used.
The Disaggregated Database Tracking Method Turning to Fig. 2, the distributed database tracking method of the present invention is illustrated. The tracking method 200 begins at step and proceeds to step 203. At step 203, the point of sale equipment recognizes that the consumer 106 is in the vicinity, acquires data from the consumer's data acquisition device 110 via communication link 120, and presents a greeting via its interface 132. The greeting may be graphic or verbal, or the greeting may merely be a change in the display presented by the point of sale equipment.
Once the greeting is presented, the tracking method 200 proceeds to step 204. At step 204, the tracking method 200 assembles individual database 124 by means of the data acquisition device 110. Product identification data and possibly sales transaction data are received by the data acquisition device 110 from the product identifier device 108 and the point of sale equipment 130, respectively. The consumer preferences can also be input directly into the data acquisition device 110. The database 124 assembled at step 204 is a database that is specific to the consumer 106 and is a record of the purchasing data and preferences of the consumer 106.
Once the database 124 has been assembled at step 204, the tracking method 200 proceeds to step 206. At step 206, all or part of the purchasing data and preferences for the consumer 106 are extracted from the database I24 by means of the terminal device 112 via communication link 1 I 8.
After the terminal device 112 has extracted the purchasing data and preferences from the disaggregated database 124 for the consumer 106, the method proceeds to step 214 where the method may clear the extracted purchasing data from the database 124.
Once the purchasing data and preferences have been extracted at step 206 and the database 124 cleared, the tracking method 200 proceeds to step 208 where the extracted purchasing data and preferences are sent to the collection center 114 by the terminal device 112 via communication link 122.
From step 208, the method proceeds to step 210.
At step 210, the tracking method 200 analyzes the extracted purchasing data and preferences to build the inferred marketing database by means of the computer 126 at the data collection center 114. From step 210 the method 100 moves to step 211.
At step 211, the method analyzes the inferred marketing database. The analysis can be of two general types. First, the computer 126 can combine purchasing data from a number of consumers and use the combined purchasing data to analyze the market for various products and generated marketing forecast as is conventional done with purchasing data collected from a variety of sources including consumer surveys.
Second, and in accordance with the present invention, the computer 126 can analyze the individual purchasing data and preferences from the individual consumer and create personal responses to the consumer based on the consumer's individual purchasing habits and proclivities. Such a response may be in the form of customized information for the particular individual consumer. For example, the customized information may take the form of an incentive offer to purchase additional products of the kind already purchased by the consumer at a discount. Alternatively, the consumer may be offered products related to those already purchased. The purchaser of golf clubs, for example, might be offered golf balls or a membership at a golf course, perhaps at a discount. In addition, the customized information might be an offer for unrelated goods or services, again perhaps at a discount.
Subsequent extraction and analysis of purchasing data from the consumer can be used to further tailor future offers or other customized information to the consumer.
Once the analysis of the inferred marketing database has been completed by the computer 126 and customized information for the particular consumer has been generated by the computer 126, the tracking method 200 proceeds to step 2I2. At step 212, the customized information is sent to the consumer 106 via communication link 122, terminal device 112, communication link 118, and data acquisition device 110.
Once the customized information is sent to the consumer, the tracking method proceeds to step 216 where the method determines whether the purchasing data tracking for the consumer 106 is complete. If no further tracking is required, the method 200 follows the "yes" branch, and the tracking method 200 ends at step 218. Alternatively, if the tracking is to continue, the tracking method 200 follows the "no" branch, and the method returns to step 204 and continues.
Turning to Fig. 3, the purchase data assembly step 204 of the tracking method 200 is illustrated in greater detail. The data assembly step (from Fig. 2) begins at step 302 and proceeds to step 304. At step 304, the method of the assembly step 204 determines whether the product identifier device 108 is activated. If the product identifier device is not activated, the method follows the "no" branch and continues searching for an activated product identifier device 108. If the product identifier 108 is activated, the method follows the "yes" branch, and the method acquires the product's identification at step 306 for the database 124 in the data acquisition device 110.
Once the product identification has been acquired by the data acquisition device 110 at step 306, the method of the assembly step 204 proceeds to step 308. At step 308, the method determines whether sales transaction data is available from the point of sale equipment 130. If sales transaction data is available, the method follows the "yes" branch to step 310.
If sales transaction data is not available, the method follows the "no" branch to S step 312.
At step 310, the method acquires the sales transaction data from the point of sale equipment 130, and the sales transaction data is entered into the database 124 of data acquisition device 110. Such sales transaction data may include, for example, selling price, location, time, etc. Once the sales transaction data has been added to the database 124 in the data acquisition device 110, the method proceeds to step 312.
At step 312, the method of assembly step 204 stores the purchasing data (product identification data and/or sales transaction data) in the database 124. A clear instruction from step 410 of Fig. 4 clears the stored database once the purchasing data has been extracted as more fully explained in connection with the method of step 206 (Figs. 2 and 4). Once the purchasing data has been stored at step 312 in database 124, the method of assembly step 204 proceeds to step 313.
At step 313, the method 204 stores the consumer's personal data and/or preferences in the database 124. Once the preferences have been stored at step 313, the method 204 ends at step 314 proceeds to the extraction step illustrated in Fig. 4.
Once the assembly step 204 of tracking method 200 is completed at step 314 (Fig. 3) the tracking method 200 proceeds to the extraction step 206 which is illustrated in greater detail in Fig. 4. The extraction step 206 continues at step 402 and proceeds to step 404. At step 404, the terminal 112 receives instructions from collection center 114 for extracting part or all of the purchasing data and preferences in database I24.
The extraction instructions may either be specific for the particular consumer or the particular circumstance then existing at the collection center 114 at the time the database extraction occurs. Alternatively, the terminal device 112 may have received standing instructions for the extraction of purchasing data and preferences from the database 124 which remain in effect until superceding instructions are received.
From step 404 the method of extraction step 206 proceeds to step 406 where the method determines if a data acquisition device 110 with its database 124 is available (within range and connected to the communications link 118). If the data acquisition device 110 is not available, the method follows the "no" branch and continues looping until the data acquisition device 110 is found on the communication link 118. Once the data acquisition device 110 is available on communication link 118, the method follows the "yes"
branch to step 408.
At step 408, the method of extraction step 206 polls the data acquisition device 110 and extracts all or part of the purchasing data and preferences from the database 124 via communication link 118 based on the extraction instructions from the collection center 114. Once the purchasing data has been extracted, the method proceeds to steps 410 and 412.
At step 410, the method sends a clear instruction to the data acquisition device 110 and clears the extracted purchasing data from the database 124 (step 312, Fig. 3). At step 412, the method of extraction step ends, and the method 200 proceeds at step 208 (Fig. 2).
The tracking system 100 and tracking method 200 are illustrated by the following examples.
Example 1-RFI Tag For Example 1, the data acquisition device 110 is an RFI tag carried by the consumer 106. No product identifier device on the product 104 is used. The product identification data and sales transaction data is provided by the point of sale equipment 130 which is an automatic vending machine, such as a soft drink vending machine. The vending machine also serves as the terminal device 112 and has the user interface 132, which may be a display screen, printer, and/or speakers.
When the consumer with his or her RFI tag (the data acquisition device 110) approaches the vending machine to buy a soft drink, the vending machine (operating as the point of sale equipment 130) recognizes that the data acquisition device, the consumer's RFI tag is in range. The vending machine can then offer a greeting to the consumer. When the consumer completes his or her purchase of the soft drink at the vending machine, the vending machine transfers the product identification data and sales transaction data to the consumer's RFI tag, and that information is assembled into the database 124 in the RFI tag along with the preferences of the consumer.
When the consumer next approaches a vending machine either to buy another soft drink or is merely in the vicinity of the vending machine, the vending machine, operating as the terminal device 112 can poll the RFI
tag, extract the all or part of the purchasing data and preferences from the RFI
tag, clear the database on the RFI tag, and transmit the extracted purchasing data and preferences to the collection center 114 where it is analyzed and customized information for the consumer is generated.
The next time the consumer is in the vicinity of a vending machine, the vending machine, operating as the terminal device 112, can communicate the customized information to the consumer via the display screen, printer, and/or speakers. Alternatively, the customized information could simply be communicated in the form of offering the consumer a reduced price for the next purchase of the soft drink as a reward for the prior purchase of a certain number of soft drinks from the provider.
Example 2-Cellular Telephone With RFI Tag Reader For Example 2, the data acquisition device 110 is a cellular telephone with RFI tag reader carried by the consumer 106. The cellular telephone also serves as the terminal device 112. 'The product identifier device 108 on the product 104 is an RFI tag that is activated when the product 104 is opened or consumed. The point of sales equipment 130 is an automatic vending machine, such as a soft drink vending machine. The vending machine has the user interface 132.
The consumer 106 with his or her cellular telephone enters the vicinity of the vending machine. The vending machine recognizes the presence of the consumer from the database 124 carried by the cellular telephone, and the vending machine modifies its interface 132 to present the appropriate greeting to the consumer 106, perhaps inviting the consumer 106 to buy a soft drink. The consumer 106 purchases a soft drink in the usual fashion.
Later when the consumer stops to open the soft drink and consume it, an RFI tag on the bottle is activated. The RFI tag communicates with the cellular telephone and thereby confirms that the soft drink was consumed by the consumer. That information is entered into the personal database I24 of the consumer 106. Alternatively, at the time of purchase, the vending machine could transmit the details of the transaction to the database 124 of the consumer's data acquisition device, the cellular telephone. Such details might include the identity of the product, the price, the date and time, the location, etc.
Later the purchasing data and preferences are extracted from the database 124 on the cellular telephone. The extraction may be done automatically by the cellular telephone periodically dialing the computer 126 via the communication link 122. Alternatively, the extraction may be in response to a polling request from the computer 126 at the collection center 114. After the extraction of the purchasing data, the cellular telephone clears its database of extracted purchasing data.
Later, after the consumer's purchasing data and preferences have been extracted and the collection center has analyzed the purchasing data and preferences, the consumer receives a message on the cellular phone, preferably a text message, advising the consumer of a concert and that entry to the consumer is free as a bonus because of the consumer's past purchases of the soft drink product 104.
When the consumer reaches the concert venue, the cellular telephone's database is read at the turnstile (a terminal device), and the consumer is admitted without charge (the equivalent of a personal greeting of step 203, Fig. 2). At the concert, vendors that have prior arrangements with the provider 102 offer promotional merchandise based on the analysis of the consumer's past purchasing habits and preferences.
After the concert, the consumer can record his or her evaluation of the concert in the database 124, thereby assuring that the collection center and the provider will know the consumer's preference for additional performances as an incentive.
The system and method of the present invention allow the provider of products or services to track individual consumer's consumption habits by means of individual disaggregated databases assembled for each consumer. From the purchasing data in the individual database, the provider is able to provide direct communication of personal and customized information to that consumer.
The terminal device 112 can be, for example, a magnetic media write device or an RFI tag transmitter device. The terminal device 112 can be located at the point of sale or at other locations. If the data acquisition device 110 is an RFI tag, for example, the terminal device 112 will contain an RFI
tag reader which will read the database 124 stored by the ItFI tag via communications link 118. Alternatively, the terminal device 112 may be a magnetic medium reader which reads the magnetic medium on a card or the like which serves as the data acquisition device 110.
Once the purchasing data and preferences are downloaded from the data acquisition device 110 by the terminal device 112, the terminal device 112 transmits the purchasing data and preferences to the collection center 114 via communication link 122. As previously, stated, the terminal device l I2 can be incorporated physically into the data acquisition device 110.
Data Collection Center 'The data collection center 114 is associated with the product provider 102 and is generally under the control of the provider 102. One or more data collection centers may be utilized in connection with the pxesent invention. The data collection center 114 uses the general purpose digital computer 126 to receive purchasing data and preferences, build an inferred marketing database from the purchasing data and preferences, analyze the inferred marketing database, create customized information fox individual consumers, and send such customized information to the individual consumers.
In connection with building the inferred marketing database, the computer I26 can combine purchasing data and preferences from a number of consumers. From the inferred marketing database, the computer I26 can determine market trends in conventional fashion. In addition, the computer can analyze the purchasing data and preferences from an individual consumer, such as consumer 106, and generate custom messages for such individual consumer.
For example, the computer 126 could determine that the consumer 106 purchases a certain soft drink sold by the provider 102 more frequently than other brands. As a consequence, the provider could instruct the computer 106 to offer the consumer 106 a discount on purchases of that soft drink.
Alternatively, the provider 102 could offer other incentives to induce the consumer 106 to purchase other products or services that are related to the consumer's purchasing patterns and preferences.
Once an incentive or other information relevant to the consumer has been generated from analyzing the consumer's purchasing data and preferences, the computer 126 sends that customized information to the consumer 106 via communications link 122, terminal device 112, communications link 118, and data acquisition device 110.
The Communication Links The communications links 116, 118, 120, and 122 connect the various elements of the purchasing data tracking system 100 together. The communication links can take a number of forms. The communications link 116 between the product identifier 108 and the data acquisition device 110 is preferably a wireless communications link and may be an RF, infrared, or magnetic link. Similarly, the communication link 120 from the data acquisition device 110 to the point of sale equipment 130 is preferably a wireless link and may be RF, infrared, or magnetic links. The communication link 118 from the data acquisition device 110 to the terminal device 112 may be a wired link when the terminal device is physically incorporated in to the data acquisition device 1 I0, or the communication link 118 may be a wireless link such as RF, infrared, or magnetic links. The communication link 122 from the computer I26 of the collection center 114 to the terminal device I 12 may be either a wireless or a wired link. A local area or wide area wired network may be used.
The Disaggregated Database Tracking Method Turning to Fig. 2, the distributed database tracking method of the present invention is illustrated. The tracking method 200 begins at step and proceeds to step 203. At step 203, the point of sale equipment recognizes that the consumer 106 is in the vicinity, acquires data from the consumer's data acquisition device 110 via communication link 120, and presents a greeting via its interface 132. The greeting may be graphic or verbal, or the greeting may merely be a change in the display presented by the point of sale equipment.
Once the greeting is presented, the tracking method 200 proceeds to step 204. At step 204, the tracking method 200 assembles individual database 124 by means of the data acquisition device 110. Product identification data and possibly sales transaction data are received by the data acquisition device 110 from the product identifier device 108 and the point of sale equipment 130, respectively. The consumer preferences can also be input directly into the data acquisition device 110. The database 124 assembled at step 204 is a database that is specific to the consumer 106 and is a record of the purchasing data and preferences of the consumer 106.
Once the database 124 has been assembled at step 204, the tracking method 200 proceeds to step 206. At step 206, all or part of the purchasing data and preferences for the consumer 106 are extracted from the database I24 by means of the terminal device 112 via communication link 1 I 8.
After the terminal device 112 has extracted the purchasing data and preferences from the disaggregated database 124 for the consumer 106, the method proceeds to step 214 where the method may clear the extracted purchasing data from the database 124.
Once the purchasing data and preferences have been extracted at step 206 and the database 124 cleared, the tracking method 200 proceeds to step 208 where the extracted purchasing data and preferences are sent to the collection center 114 by the terminal device 112 via communication link 122.
From step 208, the method proceeds to step 210.
At step 210, the tracking method 200 analyzes the extracted purchasing data and preferences to build the inferred marketing database by means of the computer 126 at the data collection center 114. From step 210 the method 100 moves to step 211.
At step 211, the method analyzes the inferred marketing database. The analysis can be of two general types. First, the computer 126 can combine purchasing data from a number of consumers and use the combined purchasing data to analyze the market for various products and generated marketing forecast as is conventional done with purchasing data collected from a variety of sources including consumer surveys.
Second, and in accordance with the present invention, the computer 126 can analyze the individual purchasing data and preferences from the individual consumer and create personal responses to the consumer based on the consumer's individual purchasing habits and proclivities. Such a response may be in the form of customized information for the particular individual consumer. For example, the customized information may take the form of an incentive offer to purchase additional products of the kind already purchased by the consumer at a discount. Alternatively, the consumer may be offered products related to those already purchased. The purchaser of golf clubs, for example, might be offered golf balls or a membership at a golf course, perhaps at a discount. In addition, the customized information might be an offer for unrelated goods or services, again perhaps at a discount.
Subsequent extraction and analysis of purchasing data from the consumer can be used to further tailor future offers or other customized information to the consumer.
Once the analysis of the inferred marketing database has been completed by the computer 126 and customized information for the particular consumer has been generated by the computer 126, the tracking method 200 proceeds to step 2I2. At step 212, the customized information is sent to the consumer 106 via communication link 122, terminal device 112, communication link 118, and data acquisition device 110.
Once the customized information is sent to the consumer, the tracking method proceeds to step 216 where the method determines whether the purchasing data tracking for the consumer 106 is complete. If no further tracking is required, the method 200 follows the "yes" branch, and the tracking method 200 ends at step 218. Alternatively, if the tracking is to continue, the tracking method 200 follows the "no" branch, and the method returns to step 204 and continues.
Turning to Fig. 3, the purchase data assembly step 204 of the tracking method 200 is illustrated in greater detail. The data assembly step (from Fig. 2) begins at step 302 and proceeds to step 304. At step 304, the method of the assembly step 204 determines whether the product identifier device 108 is activated. If the product identifier device is not activated, the method follows the "no" branch and continues searching for an activated product identifier device 108. If the product identifier 108 is activated, the method follows the "yes" branch, and the method acquires the product's identification at step 306 for the database 124 in the data acquisition device 110.
Once the product identification has been acquired by the data acquisition device 110 at step 306, the method of the assembly step 204 proceeds to step 308. At step 308, the method determines whether sales transaction data is available from the point of sale equipment 130. If sales transaction data is available, the method follows the "yes" branch to step 310.
If sales transaction data is not available, the method follows the "no" branch to S step 312.
At step 310, the method acquires the sales transaction data from the point of sale equipment 130, and the sales transaction data is entered into the database 124 of data acquisition device 110. Such sales transaction data may include, for example, selling price, location, time, etc. Once the sales transaction data has been added to the database 124 in the data acquisition device 110, the method proceeds to step 312.
At step 312, the method of assembly step 204 stores the purchasing data (product identification data and/or sales transaction data) in the database 124. A clear instruction from step 410 of Fig. 4 clears the stored database once the purchasing data has been extracted as more fully explained in connection with the method of step 206 (Figs. 2 and 4). Once the purchasing data has been stored at step 312 in database 124, the method of assembly step 204 proceeds to step 313.
At step 313, the method 204 stores the consumer's personal data and/or preferences in the database 124. Once the preferences have been stored at step 313, the method 204 ends at step 314 proceeds to the extraction step illustrated in Fig. 4.
Once the assembly step 204 of tracking method 200 is completed at step 314 (Fig. 3) the tracking method 200 proceeds to the extraction step 206 which is illustrated in greater detail in Fig. 4. The extraction step 206 continues at step 402 and proceeds to step 404. At step 404, the terminal 112 receives instructions from collection center 114 for extracting part or all of the purchasing data and preferences in database I24.
The extraction instructions may either be specific for the particular consumer or the particular circumstance then existing at the collection center 114 at the time the database extraction occurs. Alternatively, the terminal device 112 may have received standing instructions for the extraction of purchasing data and preferences from the database 124 which remain in effect until superceding instructions are received.
From step 404 the method of extraction step 206 proceeds to step 406 where the method determines if a data acquisition device 110 with its database 124 is available (within range and connected to the communications link 118). If the data acquisition device 110 is not available, the method follows the "no" branch and continues looping until the data acquisition device 110 is found on the communication link 118. Once the data acquisition device 110 is available on communication link 118, the method follows the "yes"
branch to step 408.
At step 408, the method of extraction step 206 polls the data acquisition device 110 and extracts all or part of the purchasing data and preferences from the database 124 via communication link 118 based on the extraction instructions from the collection center 114. Once the purchasing data has been extracted, the method proceeds to steps 410 and 412.
At step 410, the method sends a clear instruction to the data acquisition device 110 and clears the extracted purchasing data from the database 124 (step 312, Fig. 3). At step 412, the method of extraction step ends, and the method 200 proceeds at step 208 (Fig. 2).
The tracking system 100 and tracking method 200 are illustrated by the following examples.
Example 1-RFI Tag For Example 1, the data acquisition device 110 is an RFI tag carried by the consumer 106. No product identifier device on the product 104 is used. The product identification data and sales transaction data is provided by the point of sale equipment 130 which is an automatic vending machine, such as a soft drink vending machine. The vending machine also serves as the terminal device 112 and has the user interface 132, which may be a display screen, printer, and/or speakers.
When the consumer with his or her RFI tag (the data acquisition device 110) approaches the vending machine to buy a soft drink, the vending machine (operating as the point of sale equipment 130) recognizes that the data acquisition device, the consumer's RFI tag is in range. The vending machine can then offer a greeting to the consumer. When the consumer completes his or her purchase of the soft drink at the vending machine, the vending machine transfers the product identification data and sales transaction data to the consumer's RFI tag, and that information is assembled into the database 124 in the RFI tag along with the preferences of the consumer.
When the consumer next approaches a vending machine either to buy another soft drink or is merely in the vicinity of the vending machine, the vending machine, operating as the terminal device 112 can poll the RFI
tag, extract the all or part of the purchasing data and preferences from the RFI
tag, clear the database on the RFI tag, and transmit the extracted purchasing data and preferences to the collection center 114 where it is analyzed and customized information for the consumer is generated.
The next time the consumer is in the vicinity of a vending machine, the vending machine, operating as the terminal device 112, can communicate the customized information to the consumer via the display screen, printer, and/or speakers. Alternatively, the customized information could simply be communicated in the form of offering the consumer a reduced price for the next purchase of the soft drink as a reward for the prior purchase of a certain number of soft drinks from the provider.
Example 2-Cellular Telephone With RFI Tag Reader For Example 2, the data acquisition device 110 is a cellular telephone with RFI tag reader carried by the consumer 106. The cellular telephone also serves as the terminal device 112. 'The product identifier device 108 on the product 104 is an RFI tag that is activated when the product 104 is opened or consumed. The point of sales equipment 130 is an automatic vending machine, such as a soft drink vending machine. The vending machine has the user interface 132.
The consumer 106 with his or her cellular telephone enters the vicinity of the vending machine. The vending machine recognizes the presence of the consumer from the database 124 carried by the cellular telephone, and the vending machine modifies its interface 132 to present the appropriate greeting to the consumer 106, perhaps inviting the consumer 106 to buy a soft drink. The consumer 106 purchases a soft drink in the usual fashion.
Later when the consumer stops to open the soft drink and consume it, an RFI tag on the bottle is activated. The RFI tag communicates with the cellular telephone and thereby confirms that the soft drink was consumed by the consumer. That information is entered into the personal database I24 of the consumer 106. Alternatively, at the time of purchase, the vending machine could transmit the details of the transaction to the database 124 of the consumer's data acquisition device, the cellular telephone. Such details might include the identity of the product, the price, the date and time, the location, etc.
Later the purchasing data and preferences are extracted from the database 124 on the cellular telephone. The extraction may be done automatically by the cellular telephone periodically dialing the computer 126 via the communication link 122. Alternatively, the extraction may be in response to a polling request from the computer 126 at the collection center 114. After the extraction of the purchasing data, the cellular telephone clears its database of extracted purchasing data.
Later, after the consumer's purchasing data and preferences have been extracted and the collection center has analyzed the purchasing data and preferences, the consumer receives a message on the cellular phone, preferably a text message, advising the consumer of a concert and that entry to the consumer is free as a bonus because of the consumer's past purchases of the soft drink product 104.
When the consumer reaches the concert venue, the cellular telephone's database is read at the turnstile (a terminal device), and the consumer is admitted without charge (the equivalent of a personal greeting of step 203, Fig. 2). At the concert, vendors that have prior arrangements with the provider 102 offer promotional merchandise based on the analysis of the consumer's past purchasing habits and preferences.
After the concert, the consumer can record his or her evaluation of the concert in the database 124, thereby assuring that the collection center and the provider will know the consumer's preference for additional performances as an incentive.
The system and method of the present invention allow the provider of products or services to track individual consumer's consumption habits by means of individual disaggregated databases assembled for each consumer. From the purchasing data in the individual database, the provider is able to provide direct communication of personal and customized information to that consumer.
Claims (20)
1. A method of tracking consumer data for a consumer product offered for sale by a provider using a disaggregated database comprising the steps of:
a) assembling an individual database for an individual consumer which individual database includes purchasing data for the individual consumer relating to the consumer product;
b) extracting the purchasing data from the consumer's individual database;
c) sending extracted consumer purchasing data to a data collection center controlled by the provider of the consumer product;
d) analyzing the extracted purchasing data at the data collection center; and e) based on the analysis, communicating customized information from the provider to the consumer from which the purchasing data was collected.
a) assembling an individual database for an individual consumer which individual database includes purchasing data for the individual consumer relating to the consumer product;
b) extracting the purchasing data from the consumer's individual database;
c) sending extracted consumer purchasing data to a data collection center controlled by the provider of the consumer product;
d) analyzing the extracted purchasing data at the data collection center; and e) based on the analysis, communicating customized information from the provider to the consumer from which the purchasing data was collected.
2. The method of Claim 1, wherein the step of assembling further includes the steps of:
a) providing the consumer with a data acquisition device;
b) assigning a product code to the consumer product;
c) attaching a product identifier device to the consumer product for communicating the product code to the consumer data acquisition device;
d) activating the product identifier device within the vicinity of the consumer's data acquisition device; and e) acquiring the product code with the consumer's acquisition device.
a) providing the consumer with a data acquisition device;
b) assigning a product code to the consumer product;
c) attaching a product identifier device to the consumer product for communicating the product code to the consumer data acquisition device;
d) activating the product identifier device within the vicinity of the consumer's data acquisition device; and e) acquiring the product code with the consumer's acquisition device.
3. The method of Claim 2, wherein the product identifier device is selected from the group consisting of a magnetic medium, a magnetic media write device, an RFI tag, an RFI tag transmitter device, a bar code label, a compact disk, a DVD disk, a hologram, and an alpha numeric serial number label.
4. The method of Claim 2, wherein the data acquisition device is selected from the group consisting of an RFI tag, a magnetic medium, an RFI
tag reader with memory, a magnetic medium reader with memory, a bar code reader with memory, and a digital computer.
tag reader with memory, a magnetic medium reader with memory, a bar code reader with memory, and a digital computer.
5. The method of Claim 1, wherein the extracting step further includes the steps of:
a) providing the individual consumer with a data acquisition device which can acquire and store purchasing data for the individual consumer relating to the consumer product; and b) polling the consumer's data acquisition device by a terminal device; and c) downloading the consumer's purchasing data to the collection center.
a) providing the individual consumer with a data acquisition device which can acquire and store purchasing data for the individual consumer relating to the consumer product; and b) polling the consumer's data acquisition device by a terminal device; and c) downloading the consumer's purchasing data to the collection center.
6. The method of Claim 5, wherein the product identifier device is selected from the group consisting of a computer readable medium, an RFI
tag, a bar code label, and an alpha numeric serial number label.
tag, a bar code label, and an alpha numeric serial number label.
7. The method of Claim 5, wherein the data acquisition device is selected from the group consisting of an RFI tag reader with memory, a bar code scanner with memory, a personal data assistant, and a personal computer.
8. The method of Claim 7, wherein the terminal device is selected from the group consisting of the RFI tag reader linked to a communications network, the bar code scanner linked to a communications network, the personal data assistant linked to a communications network, and the personal computer linked to a communications network.
9. The method of Claim 5, wherein polling of the data acquisition device by the terminal device occurs at a point of sale of the consumer product and the customized information is communicated by the terminal device to the consumer at the point of sale.
10. The method of Claim 5, wherein polling of the data acquisition device by the terminal device occurs at a point of sale of the consumer product and the customized information is communicated to the consumer at a location remote from the point of sale.
11. The method of Claim 1, wherein the purchasing data is extracted at a point of sale of the consumer product and the customized information is communicated to the consumer at the point of sale.
12. The method of Claim 1, wherein the purchasing data is extracted at a point of sale of the consumer product and the customized information is communicated to the consumer at a location remote from the point of sale.
13. A system for tracking consumer data for a consumer product offered for sale by a provider using a disaggregated database comprising:
a) data acquisition device carried by an individual consumer for assembling an individual database for the individual consumer which individual database includes purchasing data for the individual consumer relating to the consumer product;
b) a terminal device for extracting the purchasing data from the consumer's individual database on the data acquisition device; and c) a data collection center controlled by the provider of the consumer product for receiving the extracted purchasing data from the terminal device via a communications network, which collection center includes a computer for:
(1) analyzing the extracted purchasing data at the data collection center; and (2) based on the analysis, communicating customized information via one or more terminal devices from the provider to the consumer from which the purchasing data was collected.
a) data acquisition device carried by an individual consumer for assembling an individual database for the individual consumer which individual database includes purchasing data for the individual consumer relating to the consumer product;
b) a terminal device for extracting the purchasing data from the consumer's individual database on the data acquisition device; and c) a data collection center controlled by the provider of the consumer product for receiving the extracted purchasing data from the terminal device via a communications network, which collection center includes a computer for:
(1) analyzing the extracted purchasing data at the data collection center; and (2) based on the analysis, communicating customized information via one or more terminal devices from the provider to the consumer from which the purchasing data was collected.
14. The system of Claim 13, further including:
a) a product code attached to the consumer product; and b) a product identifier device attached to the consumer product which identifier device when activated within the vicinity of the data acquisition device communicates the product code to the consumer data acquisition device.
a) a product code attached to the consumer product; and b) a product identifier device attached to the consumer product which identifier device when activated within the vicinity of the data acquisition device communicates the product code to the consumer data acquisition device.
15. The system of Claim 14, wherein the terminal is a point of sale terminal and supplies purchasing data to the data acquisition device at the time the product is sold to the consumer.
16. The system of Claim 13, wherein the product identifier device is selected from the group consisting of a computer readable medium, an RFI tag, a bar code label, and an alpha numeric serial number label.
17. The system of Claim 13, wherein the data acquisition device is selected from the group consisting of an RFI tag reader with memory, a bar code scanner with memory, a personal data assistant, and a personal computer.
18. The system of Claim 13, wherein the terminal device is selected from the group consisting of the RFI tag reader linked to a communications network, the bar code scanner linked to a communications network, the personal data assistant linked to a communications network, and the personal computer linked to a communications network.
19. The system of Claim 13, wherein the terminal device is a point of sale device and extracts the purchasing data from the data acquisition device at a point of sale of the consumer product and communicates the customized information to the consumer at the point of sale.
20. The system of Claim 13, wherein the terminal device is a first terminal device that is a point of sale device and extracts the purchasing data from the data acquisition device at the point of sale occurs at a point of sale of the consumer product and the customized information is communicated by a second terminal device to the consumer at a location remote from the point of sale of the consumer product.
20~
20~
Applications Claiming Priority (3)
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|---|---|---|---|
| US09/520,576 US7194422B1 (en) | 2000-03-08 | 2000-03-08 | Disaggregated databases for tracking consumer purchasing data |
| US09/520,576 | 2000-03-08 | ||
| PCT/US2001/040207 WO2001067339A2 (en) | 2000-03-08 | 2001-03-01 | Disaggregated databases for tracking consumer purchasing data |
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|---|---|
| CA2400686A1 true CA2400686A1 (en) | 2001-09-13 |
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| CA002400686A Abandoned CA2400686A1 (en) | 2000-03-08 | 2001-03-01 | Disaggregated databases for tracking consumer purchasing data |
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| US (1) | US7194422B1 (en) |
| EP (1) | EP1281144A1 (en) |
| JP (1) | JP2003526165A (en) |
| AU (1) | AU2001250013A1 (en) |
| CA (1) | CA2400686A1 (en) |
| WO (1) | WO2001067339A2 (en) |
Families Citing this family (85)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6169789B1 (en) * | 1996-12-16 | 2001-01-02 | Sanjay K. Rao | Intelligent keyboard system |
| US6644495B2 (en) * | 1997-04-22 | 2003-11-11 | Distributed Vending Company | Processing method for vending machine with substitutable magazines |
| NL1018008C1 (en) * | 2001-05-07 | 2002-11-08 | Jean-Luc Rochet | Method and system for performing personalized interactive automated electronic marketing from the supplier of marketing services. |
| CA2517060C (en) * | 2005-08-24 | 2021-02-23 | Ibm Canada Limited-Ibm Canada Limitee | System and method for determining packaging preference |
| US7298271B2 (en) * | 2005-09-19 | 2007-11-20 | Peter Sprogis | Method and apparatus for providing awards using transponders |
| CN101154278B (en) * | 2006-09-28 | 2012-08-01 | 倪爱伟 | Product data collection system and method thereof |
| US20090094126A1 (en) * | 2007-10-03 | 2009-04-09 | Patrick Killian | Dual use point of sale terminal and methods of operating same |
| US9460440B2 (en) * | 2008-02-21 | 2016-10-04 | The Coca-Cola Company | Systems and methods for providing electronic transaction auditing and accountability |
| US20090216665A1 (en) * | 2008-02-21 | 2009-08-27 | The Coca-Cola Company | Systems and Methods for Providing Vending Network Data Management |
| US8645273B2 (en) * | 2008-02-21 | 2014-02-04 | The Coca-Cola Company | Systems and methods for providing a vending network |
| US20090216675A1 (en) * | 2008-02-21 | 2009-08-27 | The Coca-Cola Company | Commission Centric Network Operation Systems and Methods |
| US8015088B2 (en) | 2008-03-03 | 2011-09-06 | The Coca-Cola Company | Methods for implementing a loyalty program |
| US20090222300A1 (en) * | 2008-03-03 | 2009-09-03 | The Coca-Cola Company | Systems and Methods of Marketing to Defined Consumer Groups |
| US8121917B2 (en) * | 2008-03-03 | 2012-02-21 | The Coca-Cola Company | Systems for implementing a loyalty program |
| US20090222339A1 (en) * | 2008-03-03 | 2009-09-03 | The Coca-Cola Company | Systems and Methods for Providing a Personal Terminal for a Loyalty Program |
| US7982609B2 (en) * | 2008-06-18 | 2011-07-19 | Microsoft Corporation | RFID-based enterprise intelligence |
| US8265239B2 (en) * | 2009-02-25 | 2012-09-11 | International Business Machines Corporation | Callee centric location and presence enabled voicemail using session initiated protocol enabled signaling for IP multimedia subsystem networks |
| US9443253B2 (en) | 2009-07-27 | 2016-09-13 | Visa International Service Association | Systems and methods to provide and adjust offers |
| US10546332B2 (en) | 2010-09-21 | 2020-01-28 | Visa International Service Association | Systems and methods to program operations for interaction with users |
| US9841282B2 (en) | 2009-07-27 | 2017-12-12 | Visa U.S.A. Inc. | Successive offer communications with an offer recipient |
| US8266031B2 (en) | 2009-07-29 | 2012-09-11 | Visa U.S.A. | Systems and methods to provide benefits of account features to account holders |
| US20110035280A1 (en) | 2009-08-04 | 2011-02-10 | Visa U.S.A. Inc. | Systems and Methods for Targeted Advertisement Delivery |
| US20110035278A1 (en) | 2009-08-04 | 2011-02-10 | Visa U.S.A. Inc. | Systems and Methods for Closing the Loop between Online Activities and Offline Purchases |
| WO2011019759A2 (en) * | 2009-08-10 | 2011-02-17 | Visa U.S.A. Inc. | Systems and methods for targeting offers |
| US9031860B2 (en) | 2009-10-09 | 2015-05-12 | Visa U.S.A. Inc. | Systems and methods to aggregate demand |
| US9342835B2 (en) | 2009-10-09 | 2016-05-17 | Visa U.S.A | Systems and methods to deliver targeted advertisements to audience |
| US8595058B2 (en) | 2009-10-15 | 2013-11-26 | Visa U.S.A. | Systems and methods to match identifiers |
| US20110093324A1 (en) | 2009-10-19 | 2011-04-21 | Visa U.S.A. Inc. | Systems and Methods to Provide Intelligent Analytics to Cardholders and Merchants |
| US8676639B2 (en) | 2009-10-29 | 2014-03-18 | Visa International Service Association | System and method for promotion processing and authorization |
| US8626705B2 (en) | 2009-11-05 | 2014-01-07 | Visa International Service Association | Transaction aggregator for closed processing |
| US20110125565A1 (en) | 2009-11-24 | 2011-05-26 | Visa U.S.A. Inc. | Systems and Methods for Multi-Channel Offer Redemption |
| US8639567B2 (en) | 2010-03-19 | 2014-01-28 | Visa U.S.A. Inc. | Systems and methods to identify differences in spending patterns |
| US8738418B2 (en) | 2010-03-19 | 2014-05-27 | Visa U.S.A. Inc. | Systems and methods to enhance search data with transaction based data |
| US9697520B2 (en) | 2010-03-22 | 2017-07-04 | Visa U.S.A. Inc. | Merchant configured advertised incentives funded through statement credits |
| US9471926B2 (en) | 2010-04-23 | 2016-10-18 | Visa U.S.A. Inc. | Systems and methods to provide offers to travelers |
| US8359274B2 (en) | 2010-06-04 | 2013-01-22 | Visa International Service Association | Systems and methods to provide messages in real-time with transaction processing |
| US8781896B2 (en) | 2010-06-29 | 2014-07-15 | Visa International Service Association | Systems and methods to optimize media presentations |
| US9760905B2 (en) | 2010-08-02 | 2017-09-12 | Visa International Service Association | Systems and methods to optimize media presentations using a camera |
| US9972021B2 (en) | 2010-08-06 | 2018-05-15 | Visa International Service Association | Systems and methods to rank and select triggers for real-time offers |
| US9679299B2 (en) | 2010-09-03 | 2017-06-13 | Visa International Service Association | Systems and methods to provide real-time offers via a cooperative database |
| US9477967B2 (en) | 2010-09-21 | 2016-10-25 | Visa International Service Association | Systems and methods to process an offer campaign based on ineligibility |
| US10055745B2 (en) | 2010-09-21 | 2018-08-21 | Visa International Service Association | Systems and methods to modify interaction rules during run time |
| US9558502B2 (en) | 2010-11-04 | 2017-01-31 | Visa International Service Association | Systems and methods to reward user interactions |
| US8626327B2 (en) * | 2010-11-05 | 2014-01-07 | The Coca-Cola Company | System for optimizing drink blends |
| US10007915B2 (en) | 2011-01-24 | 2018-06-26 | Visa International Service Association | Systems and methods to facilitate loyalty reward transactions |
| US10438299B2 (en) | 2011-03-15 | 2019-10-08 | Visa International Service Association | Systems and methods to combine transaction terminal location data and social networking check-in |
| RU2589395C2 (en) | 2011-04-22 | 2016-07-10 | Пепсико, Инк. | Dispensing system for beverages with social services capabilities |
| US10223707B2 (en) | 2011-08-19 | 2019-03-05 | Visa International Service Association | Systems and methods to communicate offer options via messaging in real time with processing of payment transaction |
| US9466075B2 (en) | 2011-09-20 | 2016-10-11 | Visa International Service Association | Systems and methods to process referrals in offer campaigns |
| US10380617B2 (en) | 2011-09-29 | 2019-08-13 | Visa International Service Association | Systems and methods to provide a user interface to control an offer campaign |
| US9544759B2 (en) | 2011-11-01 | 2017-01-10 | Google Inc. | Systems, methods, and computer program products for managing states |
| US9218704B2 (en) | 2011-11-01 | 2015-12-22 | Pepsico, Inc. | Dispensing system and user interface |
| MX341641B (en) | 2011-11-01 | 2016-08-29 | Google Inc | Systems, methods, and computer program products for interfacing multiple service provider trusted service managers and secure elements. |
| US10290018B2 (en) | 2011-11-09 | 2019-05-14 | Visa International Service Association | Systems and methods to communicate with users via social networking sites |
| US10497022B2 (en) | 2012-01-20 | 2019-12-03 | Visa International Service Association | Systems and methods to present and process offers |
| US10672018B2 (en) | 2012-03-07 | 2020-06-02 | Visa International Service Association | Systems and methods to process offers via mobile devices |
| WO2013177412A2 (en) | 2012-05-24 | 2013-11-28 | Jvl Ventures, Llc | Systems, methods, and computer program products for providing a contactless protocol |
| WO2014011453A2 (en) | 2012-07-09 | 2014-01-16 | Jvl Ventures, Llc | Systems, methods, and computer program products for integrating third party services with a mobile wallet |
| US8676709B2 (en) | 2012-07-31 | 2014-03-18 | Google Inc. | Merchant category codes in a proxy card transaction |
| KR20140026195A (en) * | 2012-08-24 | 2014-03-05 | 삼성전자주식회사 | Method and apparatus for issuing a waiting number ticket using wireless communication |
| EP2852910B1 (en) | 2012-09-18 | 2018-09-05 | Google LLC | Systems, methods, and computer program products for interfacing multiple service provider trusted service managers and secure elements |
| US10360627B2 (en) | 2012-12-13 | 2019-07-23 | Visa International Service Association | Systems and methods to provide account features via web based user interfaces |
| US9767287B2 (en) | 2013-01-25 | 2017-09-19 | Google Inc. | Systems, methods, and computer program products for managing data re-installation |
| WO2014160636A1 (en) | 2013-03-26 | 2014-10-02 | Jvl Ventures Llc | Systems, methods, and computer program products for managing service installation |
| US9646302B2 (en) | 2013-03-26 | 2017-05-09 | Google Inc. | Systems, methods, and computer program products for managing wallet activation |
| US9495558B2 (en) | 2013-03-26 | 2016-11-15 | Google Inc. | Systems, methods, and computer program products for managing access control |
| US11030315B2 (en) | 2013-05-21 | 2021-06-08 | Google Llc | Systems, methods, and computer program products for managing disabling of services |
| WO2014204832A1 (en) | 2013-06-17 | 2014-12-24 | Jvl Ventures, Llc | Systems, methods, and computer program products for processing a request relating to a mobile communication device |
| US9292345B2 (en) | 2013-07-08 | 2016-03-22 | Google Inc. | Systems, methods, and computer program products for processing sets of instructions for mobile devices |
| US9311491B2 (en) | 2013-09-30 | 2016-04-12 | Google Inc. | Systems, methods, and computer program products for securely managing data on a secure element |
| WO2015054207A1 (en) | 2013-10-10 | 2015-04-16 | Jvl Ventures, Llc | Systems, methods, and computer program products for managing contactless transactions |
| WO2015053924A1 (en) | 2013-10-10 | 2015-04-16 | Jvl Ventures, Llc | Systems, methods, and computer program products for storing and managing program data |
| US10489754B2 (en) | 2013-11-11 | 2019-11-26 | Visa International Service Association | Systems and methods to facilitate the redemption of offer benefits in a form of third party statement credits |
| EP3085128A4 (en) | 2013-12-19 | 2017-05-03 | Google, Inc. | Systems, methods, and computer program products for obtaining mobile device data |
| EP3085011A4 (en) | 2013-12-19 | 2017-08-16 | Google, Inc. | Systems, methods, and computer program products for service processing |
| US10419379B2 (en) | 2014-04-07 | 2019-09-17 | Visa International Service Association | Systems and methods to program a computing system to process related events via workflows configured using a graphical user interface |
| US10354268B2 (en) | 2014-05-15 | 2019-07-16 | Visa International Service Association | Systems and methods to organize and consolidate data for improved data storage and processing |
| US10650398B2 (en) | 2014-06-16 | 2020-05-12 | Visa International Service Association | Communication systems and methods to transmit data among a plurality of computing systems in processing benefit redemption |
| US10438226B2 (en) | 2014-07-23 | 2019-10-08 | Visa International Service Association | Systems and methods of using a communication network to coordinate processing among a plurality of separate computing systems |
| US11210669B2 (en) | 2014-10-24 | 2021-12-28 | Visa International Service Association | Systems and methods to set up an operation at a computer system connected with a plurality of computer systems via a computer network using a round trip communication of an identifier of the operation |
| US9691085B2 (en) | 2015-04-30 | 2017-06-27 | Visa International Service Association | Systems and methods of natural language processing and statistical analysis to identify matching categories |
| SG10201601831SA (en) | 2016-03-09 | 2017-10-30 | Mastercard International Inc | Methods and devices for obtaining information about consumer spending |
| JP7089723B2 (en) | 2017-04-05 | 2022-06-23 | ホークマテリアル株式会社 | Sales support system |
| US11245656B2 (en) | 2020-06-02 | 2022-02-08 | The Toronto-Dominion Bank | System and method for tagging data |
| US20220335452A1 (en) * | 2021-04-20 | 2022-10-20 | Walmart Apollo, Llc | Systems and methods for retail facilities |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5832457A (en) | 1991-05-06 | 1998-11-03 | Catalina Marketing International, Inc. | Method and apparatus for selective distribution of discount coupons based on prior customer behavior |
| US5727196A (en) * | 1992-05-21 | 1998-03-10 | Borland International, Inc. | Optimized query interface for database management systems |
| JPH0830707A (en) * | 1994-07-20 | 1996-02-02 | N T T Data Tsushin Kk | Fund operation analysis system |
| US6321208B1 (en) * | 1995-04-19 | 2001-11-20 | Brightstreet.Com, Inc. | Method and system for electronic distribution of product redemption coupons |
| US5932869A (en) * | 1996-12-27 | 1999-08-03 | Graphic Technology, Inc. | Promotional system with magnetic stripe and visual thermo-reversible print surfaced medium |
| JPH10269461A (en) * | 1997-03-25 | 1998-10-09 | Nec Corp | Pos terminal |
| US6026370A (en) * | 1997-08-28 | 2000-02-15 | Catalina Marketing International, Inc. | Method and apparatus for generating purchase incentive mailing based on prior purchase history |
| JPH11219481A (en) * | 1997-11-28 | 1999-08-10 | Nri & Ncc Co Ltd | Individual advertisement output device, its method, and recording medium |
| US6129274A (en) * | 1998-06-09 | 2000-10-10 | Fujitsu Limited | System and method for updating shopping transaction history using electronic personal digital shopping assistant |
| US6327570B1 (en) * | 1998-11-06 | 2001-12-04 | Dian Stevens | Personal business service system and method |
-
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- 2001-03-01 AU AU2001250013A patent/AU2001250013A1/en not_active Abandoned
- 2001-03-01 CA CA002400686A patent/CA2400686A1/en not_active Abandoned
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| US7194422B1 (en) | 2007-03-20 |
| AU2001250013A1 (en) | 2001-09-17 |
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| JP2003526165A (en) | 2003-09-02 |
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| FZDE | Discontinued |