WO2005036798A2 - Switchboard for interactive voice response (ivr) services - Google Patents

Switchboard for interactive voice response (ivr) services Download PDF

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Publication number
WO2005036798A2
WO2005036798A2 PCT/US2004/026939 US2004026939W WO2005036798A2 WO 2005036798 A2 WO2005036798 A2 WO 2005036798A2 US 2004026939 W US2004026939 W US 2004026939W WO 2005036798 A2 WO2005036798 A2 WO 2005036798A2
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WIPO (PCT)
Prior art keywords
call
module
ivr
routing
caller
Prior art date
Application number
PCT/US2004/026939
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French (fr)
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WO2005036798A3 (en
Inventor
Hisao M. Chang
Original Assignee
Sbc Knowledge Ventures, L.P.
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Publication of WO2005036798A2 publication Critical patent/WO2005036798A2/en
Publication of WO2005036798A3 publication Critical patent/WO2005036798A3/en

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04QSELECTING
    • H04Q3/00Selecting arrangements
    • H04Q3/64Distributing or queueing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M3/00Automatic or semi-automatic exchanges
    • H04M3/42Systems providing special services or facilities to subscribers
    • H04M3/487Arrangements for providing information services, e.g. recorded voice services or time announcements
    • H04M3/493Interactive information services, e.g. directory enquiries ; Arrangements therefor, e.g. interactive voice response [IVR] systems or voice portals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M3/00Automatic or semi-automatic exchanges
    • H04M3/42Systems providing special services or facilities to subscribers
    • H04M3/487Arrangements for providing information services, e.g. recorded voice services or time announcements
    • H04M3/493Interactive information services, e.g. directory enquiries ; Arrangements therefor, e.g. interactive voice response [IVR] systems or voice portals
    • H04M3/4938Interactive information services, e.g. directory enquiries ; Arrangements therefor, e.g. interactive voice response [IVR] systems or voice portals comprising a voice browser which renders and interprets, e.g. VoiceXML
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M3/00Automatic or semi-automatic exchanges
    • H04M3/42Systems providing special services or facilities to subscribers
    • H04M3/50Centralised arrangements for answering calls; Centralised arrangements for recording messages for absent or busy subscribers ; Centralised arrangements for recording messages
    • H04M3/51Centralised call answering arrangements requiring operator intervention, e.g. call or contact centers for telemarketing
    • H04M3/5166Centralised call answering arrangements requiring operator intervention, e.g. call or contact centers for telemarketing in combination with interactive voice response systems or voice portals, e.g. as front-ends
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M3/00Automatic or semi-automatic exchanges
    • H04M3/42Systems providing special services or facilities to subscribers
    • H04M3/50Centralised arrangements for answering calls; Centralised arrangements for recording messages for absent or busy subscribers ; Centralised arrangements for recording messages
    • H04M3/527Centralised call answering arrangements not requiring operator intervention
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M3/00Automatic or semi-automatic exchanges
    • H04M3/42Systems providing special services or facilities to subscribers
    • H04M3/42025Calling or Called party identification service
    • H04M3/42085Called party identification service
    • H04M3/42102Making use of the called party identifier
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M3/00Automatic or semi-automatic exchanges
    • H04M3/42Systems providing special services or facilities to subscribers
    • H04M3/50Centralised arrangements for answering calls; Centralised arrangements for recording messages for absent or busy subscribers ; Centralised arrangements for recording messages
    • H04M3/51Centralised call answering arrangements requiring operator intervention, e.g. call or contact centers for telemarketing
    • H04M3/523Centralised call answering arrangements requiring operator intervention, e.g. call or contact centers for telemarketing with call distribution or queueing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04QSELECTING
    • H04Q2213/00Indexing scheme relating to selecting arrangements in general and for multiplex systems
    • H04Q2213/13072Sequence circuits for call signaling, ACD systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04QSELECTING
    • H04Q2213/00Indexing scheme relating to selecting arrangements in general and for multiplex systems
    • H04Q2213/13256Call screening
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04QSELECTING
    • H04Q2213/00Indexing scheme relating to selecting arrangements in general and for multiplex systems
    • H04Q2213/13377Recorded announcement

Definitions

  • This disclosure relates generally to telecommunication systems in both public or private circuit- switched telephone networks (PSTN) and Internet-based Voice-over-IP (VoIP) networks
  • PSTN public or private circuit- switched telephone networks
  • VoIP Internet-based Voice-over-IP
  • ACD automatic call distribution
  • API application programming interface
  • CTI computer telephony interface
  • the present application discloses a call routing system and a method of communicating with a call originator.
  • the call routing system includes a voice converted data module having an input to receive an incoming call, an interactive voice response dialog module responsive to the voice converted data module; and a call routing module responsive to the voice converted data module.
  • the call routing module is to route the incoming call to a destination.
  • the method of communicating with an originator of a call includes receiving a call at an automated call handling system; performing an evaluation of the call based on a set of business rules; routing the call to an interactive voice response unit based on the evaluation, and in response to the call, automatically scheduling and sending an email to the originator of the call.
  • the email includes a targeted communication message relating to the subject matter of the call.
  • the disclosed system provides a VoiceXML based software-driven switchboard powered by multiple rule engines that routes calls from one source to another.
  • a system for handling calls is shown.
  • the system includes a voice converted data module (e.g. VoiceXML root engine 100), an IVR dialog engine 120, and a routing engine 130.
  • the VoiceXML root engine 100, the IVR dialog engine 120, and the routing engine 130 are all coupled to an application server 170.
  • the application server 170 is coupled to a database 116 to store business rules and logic.
  • the VoiceXML root engine 10O is coupled to a second database 114 which includes DNIS rule tables.
  • the VoiceXML root engine 10O is coupled to the application server via connection 112 and is coupled to the DNIS rule table 114 via a connection 110.
  • the VoiceXML root engine 100 is coupled to the IVR dialog engine 120 via connection 113.
  • the VoiceXML root engine 100 has an input responsive to various incoming IVR applications 106 (IVR1, IVR2 to IVRn) and internet-based telephony systems such as the session internet protocol (SIP) phone 102.
  • the I R dialog engine 120 is coupled to a computer telephony interface (CTI) 140 via connection 121.
  • the computer telephony interface (CTI) 140 is coupled to a customer relationship management (CRM) database 1 42 via connection 141.
  • Connection 141 may carry a telephone number request and may retrieve customer information related to that telephone number from the CRM 142.
  • the CTI 140 is coupled to an agent terminal 147 via connection 146 and is coupled to a personalized call hold queue 102.
  • the personalized queue 102 is routed to agent queues 104 having access to an audio content library 154.
  • the agent queue 104 may be routed to particular types of automated call handling systems, such as billing system 156, repair system 157, and collection system 158. These subject matter based call handling systems may route calls to an agent terminal to provide customer assistance. Alternatively, the subject matter call handling systems may be connected to interactive voice response units to provide automated and computer generated responses to customer inquiries.
  • the routing engine 130 is coupled to an internet connection 150 via web agent 134 and connection 132.
  • the web agent 134 may provide a telephone number 141 to customer relationship management database 142 for the retrieval of additional information associated with the telephone number for a given customer. An example of such information includes a customer history, prior transactions, address, name and call profile preferences.
  • the web agent 134 via the web interface 150, may provide electronic communication such as email notifications 160.
  • the routing engine module 130 is coupled to a destination IVR rule table 152 via connection 131.
  • the routing engine 130 is connected to logic, at decision step 162, to determine whether a live agent is required, at decision step 162 for further processing of calls being handled. Where an agent is required, processing continues from decision block 162 to CTI 140, and where an agent is not required, processing continues to processing block 135 for an application to application connection to a designated destination IVR application 180.
  • CTI 140 may set an optional flag for the call that is provided in the agent queue. If a flag is set and the queue is long, the call may be bridged to a selected audio clip stored in the audio content library database 154. A customer with a particular call profile may then receive product information deemed to be interesting to the caller while the caller is waiting in the queue.
  • a screen pop may be displayed at the agent terminal 147 which is initiated by CTI 140.
  • the screen pop may contain specific information associated with the caller's telephone number and may be automatically populated on the agent screen based on customer information retrieved from the CRM database 142. An example of such information is a customer size category such as small business, individual or large business and preferred call treatment.
  • the disclosed system provides a VoiceXML based software-driven switchboard powered by multiple rule engines that routes calls from one source to another.
  • the switchboard offers four basic programmable paths as follows:
  • Switching logic inside the system is downloadable over the web from a centralized data source containing business logic and/or rules using standard HTTP interface.
  • This data source 1 16 may be managed by a relational database management system or emerging technologies such as XML server (or XML database).
  • the business logic database 116 may include rules based on the caller's telephone number, time of day, type of services interest to them in the past, their personal profile, and the customer segmentation (mid- class, upper-middle-class, high-rollers, etc.).
  • the business logic database 116 may also contain a location driven rule subset such that the switchboard can use location information associated with the call to determine whether the caller is physically closer to a particular facility. The location information may be acquired using a WIFI or wireless DSL network.
  • the switchboard can pre-load a list of the theaters nearby that show that particular movie, the subsequent dialog can provide relevant information to the caller.
  • the system may be built as a web server, an enterprise can choose to deploy multiple systems that can present the same "image" to all callers by using the trigger-based refreshing mechanism supported by VoiceXML Root Engine 100.
  • a trigger could be a scheduled event such as loading new switching logic every Sunday at 2 AM or pulling a new order from a given URL every 30 minutes.
  • VoiceXML Root Engine 100 is activated on from its idol position by an incoming call. For any call coming from a traditional time division multiplexing (TDM) based telephone network, the TDM network will deliver a DNIS associated with that call. Once activated, the VoiceXML Root Engine 100 first checks if the DNIS is defined in the Valid DNIS Rule Tables 1 14 for that call period. If not, the switchboard can be preprogrammed to either 1) not to answer the call or 2) play a pre-defined announcement and then terminate the call.
  • TDM time division multiplexing
  • the VoiceXML Root Engine 100 may launch a request via Link 1 12 to be executed on a J2EE Application Server 100 which in turn triggers a set of business rules and logic stored in Database 1 16 or encoded in a run-time rule engine residing on the application server.
  • a set of IVR dialogs in the form of VoiceXML pages is sent via Link 108 to IVR Dialog Engine Process 120.
  • Process 120 will then engage a voice dialog with the caller using a set of pre-built statistical language models (SLM) designed specifically for a given DNIS profile. If the caller's request is fully understood by Process 120, it sends a message (Task ID) via Link 122 to Routing Engine 130. Routine Engine decodes the message and determine if the call should be best handled by a live agent. If yes, it tells the switchboard to connect the call to CTI 140.
  • SLM statistical language models
  • CTI 140 first checks with Customer Relationship Management (CRM) system 142 using TN via Link 141 associated with the caller.
  • CRM 142 may decide based on the contact history for this customer that a personalized message, for example for consumer customers, or special message should be played to the caller if the Agent queue is relatively long for that time of day. For example, a large number of calls sitting in the Agent Queue for Billing may just want to find out their monthly account balance around a due date window.
  • CRM 142 can form a text message and put it in a personalized queue process 102 for those selected callers.
  • Process 102 may use advanced text-to-speech (TTS) technology to convert the text message into an audio file.
  • TTS advanced text-to-speech
  • Process 102 may play that audio file to the caller and send the call to a group queue process 104 identified by Routing Engine 130.
  • Process 104 maintains in real time a Task-ID to Skill-Set mapping table and uses this table to send the call to a specific queue served by a matching skill-qualified agent that is available at that time.
  • Process 102 may make an advanced reservation via process 104 in order to reserve a slot in the agent queue identified by process 104. For example, for an agent queue, such as a billing queue, with an estimated waiting time of about 5 minutes, process 102 can customize the personalized message to be about 4 minutes and 45 seconds. Thus, after the caller finishes listening to their personalized message, they will be placed in their reserved position in the billing queue for a much short wait time before served by a live agent.
  • an agent queue such as a billing queue
  • process 102 can customize the personalized message to be about 4 minutes and 45 seconds.
  • a Task ID obtained by dialog engine module process 120 can be used to dynamically trigger a different group message stored in Audio Content Library 154. For example, if the switchboard suddenly receives a few thousands calls within a very short period of time that are related to broadband Internet connection, a special group message may be invoked for all the calls sitting in the repair queue.
  • a CTI 140 When a CTI 140 detects an idle agent, the CTI 140 sends the call context data via link 146 to the agent's desktop 147 by populating various screen fields. Then, CTI 140 may play a chained message from either the voice recordings of the caller or a number of concatenated TTS-generated audio messages associated with the Task ID. This is known as whisper transfer because the caller will not hear these audio messages while the agent is listening to them. Whisper transfer is particular useful when the data link 146 is not initially available for the implementation of the switchboard in an enterprise call center operation.
  • Routing Engine 130 finds a destination IVR application 180 (e.g. IV Ra in the drawing) that matches to Task ID, it will check, via link 131 the destination IVR rule tables stored in database 152. Based on the structured rules and the interface template found for that destination IVR application, the switchboard activates a software connector 135 which composes various text and/or audio messages in a format readable by the destination IVR 180. If the destination IVR 180 (e.g. IVRa) is another VoiceXML-based IVR application, connector 135 can use VoiceXML standards based application-to-application connection methods, such as ⁇ submit> to pass the call and then release the call from the switchboard. If not, connector 135 can physically transfer the call to the destination IVR 180 (i.e. IVRa) and at the same time pass the call history via in-band or out-band methods.
  • a destination IVR application 180 e.g. IV Ra in the drawing
  • the switchboard activates a software connector 135 which composes various text and/or audio messages in
  • the system includes IVR applications 206, SIP end point 202, a telephony communication instrument such as phone 204, and various additional IVR applications 208.
  • the communication inputs are received at module 210 which is a switchboard routing module and processing continues for the call treatment to telephony media processor 211 and SIP listener 212.
  • the telephony media processor 21 1 may retrieve DNIS rule tables from database 114.
  • An output from telephony media processor 211 and SIP listener module 212 is routed to decision logic 221 where it is determined whether the call is defined in the DNIS rule table. When the call is defined in the DNIS table, processing continues by accessing business rule logic database 116.
  • processing is routed to module 213 to construct a starting document for a default page.
  • the default page for module 213 is then forwarded to application server 240.
  • processing continues to module 234 where a starting document is constructed for pre-defined CGU types based on the DNIS, time of day, day of the week, holiday and telephone number. The resulting page is then forwarded as message 225 to the application server 240.
  • FIG. 2 Also shown in FIG. 2 is an interconnection 1 13 between the VoiceXML root engine module 100 and the IVR dialog engine module 120.
  • the IVR dialog engine module 120 is used to retrieve a document at the system URL as indicated at 241.
  • an XML version document 215 is constructed and then passed back to the VoiceXML root engine 100 for additional call processing.
  • FIG. 2 illustrates detailed processing logic being executed after a call arrives at the switchboard but before the first prompt is played by the IVR dialog engine 120.
  • Root Engine 100 For calls coming from a SIP (Session Initiation Protocol) endpoint 202, Root Engine 100 has a built-in firewall to automatically accept or reject a corresponding http request based on their originating host IP address. If the access is granted, an http request (will wake up SIP listener process 212 which will then take a proper action. If calls come from a TDM telephone network, it will trigger one of telephony media processors 211 on the switchboard. Process 211 can be pre-programmed to reject certain unknown DNIS, such as by not answering the call at all. In addition to DNIS, the TDM network may also deliver ANI which may or may not correspond to the TN for the calling customer. For SIP calls, the TN is normally delivered as an argument attached to an http request, such as follows:
  • decision step 221 will activate process 213, which will construct a VoiceXML document containing the default dialog: CGU( ⁇ default>). This default dialog tries to reach customer goal understanding (CGU) without knowing where the call came from (since an associated DNIS is not defined in database 114.)
  • DNIS is defined link 216 or SIP call link 214 is determined to have originated from an authorized IP host
  • the root engine 100 will immediately fetch a starting document 215 from a known web server, or use a cached version.
  • a first actionable tag ⁇ vxml> inside document 215 may trigger the switchboard system to fetch a root document written in VoiceXML and then pass it to a built-in VoiceXML run-time interpreter which then executes the processing logic specified in this root VoiceXML document.
  • process 211 will search Database 114 to determine if there are any special rules associated with this DNIS.
  • Decision 221 may consult Database 116 to determine which CGU dialog should be loaded based on the DNIS/URL and TN. Once a match is found from Database 116, this root document may instruct the switchboard to activate a software constructor 234.
  • Constructor 234 may run on a standard J2EE Application Server.
  • the input link 224 to constructor 234 contains business rules and processing logic defined for a group of DNIS/URL (e.g., all the DNIS associated with a single billing number for that enterprise's customers) and TN if available (from either the caller's ANI or passed from an incoming IVR application (e.g., IVR2 as shown in the drawing).
  • the tag ⁇ submit> inside the VoiceXML form CGU will cause the switchboard to activate IVR Dialog Engine 120 by fetching the page just generated.
  • FIG. 3 illustrates a method of routing a call and providing follow-up electronic notifications.
  • a call is received at an automated call system, at 302.
  • An example is a call received at an incoming IVR.
  • a call evaluation based on business logic is then performed, at 304.
  • the call is routed to a destination IVR or to an agent queue, at 306.
  • the call is then handled by the agent or the destination IVR.
  • a follow-up notification to the caller is desirable.
  • An example is a customized marketing promotion that is matched to certain characteristics of the caller or the subject matter discussed by the caller during the call to the IVR.
  • an electronic notification may be scheduled for delivery at a selected time to send an email to the caller.
  • the email may include a targeted communication message, such as an advertisement or other promotion, that relates to the subject matter of the call processed by the IVR at the call center system, as shown at 308.
  • permission based targeted marketing programs using email may be automatically distributed and scheduled for callers to a call center.
  • the caller may have a problem that is not solved by a live agent or the destination IVR, such as a customer request for certain information.
  • the electronic notification system may be used to send an email to the caller with the information requested by the caller.
  • the disclosed method may allow for follow-up caller service, enhanced customer care, and cross selling capabilities.
  • Inputs including the model VoIP telephone number and other data retrieved from VoiceXML routing engine module 100 is received as inputs 113 at the module 410.
  • specific CGU dialog modules are loaded and session records are stored at the session record database 426.
  • a CGU record is processed at 420 and compared to decision threshold logic, at 421.
  • An initial threshold may be a 20% decision threshold and may require retrieval and access to offline tuning data 424.
  • a CGU confidence determination is made at decision step 422. If the CGU confidence level is low, then error handling module 430 is accessed which may result in a bail out of the process at 460.
  • the CGU is loaded and direct dialog models are handled at 414 and 440.
  • a DDM confidence factor is then checked at decision step 444. Where the CGU confidence level is high, a confirmation occurs at 450 and the routing engine is instructed with message 402 to handle routing of the call, via routing engine 130. Referring again to decision step 444, if the DDM confidence level is low, a bail out occurs at 448 and the call transfer module 326 is accessed to complete the call. If the DDM confidence level is a medium level and a CGU level is loaded at 442, the processing continues at 422. In addition, the call transfer module 468 provides instructions 469 to the CTI 104 as described above.
  • process 410 reads a call profile created dynamically by VoiceXML Root Engine 100 for each call.
  • the call profile specifies which CGU dialog modules should be used for this caller (if TN is available) or for any caller dialing into a group of DNIS numbers associated with a published number representing a business category such as consumer-billing or consumer-repair.
  • the profile may also contain control codes from an incoming IVR so that the CGU dialog modules can continue a dialog with the caller in an efficient and user-friendly manner.
  • the incoming IVR application e.g., IVRl
  • an incoming IVR application can choose to send the control codes via an in-band signaling method (such as channel associated signaling (CAS)) to trigger a dual tone multi-frequency (DTMF) reader inside process 410.
  • CAS channel associated signaling
  • the DTMF reader reads the control codes generated from the incoming IVR application and uses these codes to modify the logic of the CGU dialog modules accordingly. For example, if the caller already selected the language while being connected to the IVR application, the CGU dialog will not ask the same language question again.
  • Process 420 employs a selected CGU dialog (most often a highly focused CGU dialog designed specifically for a certain profile such as consumer-billing or business-payment etc) to gather further information about the caller's goal (why they are calling and so on). If the CGU dialog is able to recognized their goal, process 420 sends a confidence score of that recognition to process 421 which controls the decision threshold.
  • the decision threshold may be periodically changed based on an offline tuning database 424. For example, when the switchboard is initially installed, database 424 may only contain the tuning data collected from a few thousands of calls. At that initial stage, process 421 may choose to use a very tight threshold to determine if the confidence score from a CGU dialog is high enough to be acceptable or not.
  • the decision threshold may be automatically adjusted to achieve the balance desired (between misunderstanding a customer's goal and rejecting the assessed CGU).
  • decision 422 will make a final determination as to whether the confidence score from the CGU dialog is low, medium, or high. If the confidence score is high, IVR Dialog Engine will invoke confirmation module 450 which will inform the caller 1) the goal recognized in terms of a set of pre-defined user tasks, and 2) what the caller can expect next — to be sent to another IVR application or to an agent queue. Then, IVR Dialog Engine will send the task ID along with other session data via link 402 to routing engine 130.
  • process 414 will load a set of specific direct dialog modules (DDM) based on the outcome of the CGU Dialog Process 420.
  • DDM direct dialog modules
  • Such an outcome is represented by a group ID so that DDMs ( ⁇ ID>) loaded have a focused conversation with the caller to further clarify what they really meant from what they said.
  • a CGU ⁇ Consumer:Billing>
  • block 414 can load the two DDMs and then pass the control to process 440. If DDM process 440 is able to successfully recognize the customer's goal with a high confidence, the caller will be sent to confirmation process 450.
  • decision 444 may choose to load a different CGU dialog and start the customer goal determination process again and by pass the control to Process 420.
  • the DDMs used in Process 440 may reach a conclusion that the call is not really about billing. Instead, what the caller really wants is to pay their bill. If that is the case, a CGU ( ⁇ Payment>) will be loaded.
  • EHM error handling modules
  • CTM 468 may decide to set various flags for playing a personalized message when the call is sent to a personalized queue.
  • CTM 468 can be configured to set a flag for various agent queues such as billing, repair, and etc. When such flags are set, the caller may hear a customized message common to all the callers in that agent queue (instead of meaningless music-on-hold). If the last recognition event (from CGU dialog or DDM dialog) produced an audio recording of the caller's utterance, CTM 468 may compose an appropriate audio message for the agent to listen to. Such an audio message may start with an introduction tone followed by the caller's utterance(s) selected and followed by an ending tone.
  • CTM 468 has an option to prepare a text message related to the session so that the message may be used for an outbound E-channel delivery such as an email notification.
  • the routing engine module 130 is coupled to application server 170. Additional inputs received from the IVR dialog engine 120 are received as a task ID, telephone DNIS, and session data 122 at the business rule and logic processing module 53 1. The task ID, telephone DNIS, and telephone number are passed to each notification module 515 and may be used to access the business rule logic database 116. At decision block 502, the task ID is compared to determine whether agent handling is appropriate. When agent handling is not needed, a particular IVR application is identified at 520 and destination IVR rule tables 152 are accessed. When IVR identification is retrieved, then processing continues to the decision step 525 to determine if the IVR application is VoiceXML compliant.
  • processing continues to set-up the application to application transferring module 530.
  • processing continues at module 526, which accesses a call transfer module.
  • a call transfer module 526 performs steps such as setting a flyer for personalized messages, sending a flag for a category queue, preparing audio messages for the agent, preparing text messages for a screenpop via a CTI, and preparing data for outbound e-channel delivery. Processing is then followed by instruction 521 being communicated to CTI 504 to further interface with the agent terminal.
  • IVR Dialog Engine sends the applicable session data such as ⁇ Task-ID>, TN, and DNIS to process 531.
  • Process 531 searches Database 116 to determine how the call should be handled given the business logic or processes associated with such a task.
  • the search process link 109 can be executed by a rule engine which typically resides on a J2EE application server. As a part of the execution logic, decision 502 will determine whether the task should be handled by a live agent instead of being routed to another IVR application. If Yes, the control is passed to process 526 (CTM).
  • process 520 is invoked to identify a proper IVR (destination IVR-ID) application to be routed and then uses ⁇ IVR-ID> to search a database containing destination IVR profiles (Database 152) via link 510.
  • decision 525 determines if the IVR is VoiceXML capable. If yes, the caller is essentially sent to another VoiceXML application through process 530 using standards-based application-to-application transfer methods such as ⁇ submit> which can easily pass all session related data to the VoiceXML-based IVR application via Link 531.
  • decision 535 determines whether the IVR is capable of supporting any external data interface to receive the session data. If yes, process 540 is invoked to deliver the session data to the destination IVR via a shared database or using a specific software adapter built specifically for that IVR. After delivering the session data, process 560 is invoked to ask the switchboard to make a two-way transfer by making an outbound call to the destination IVR first and then bridge the call that has been put on hold after confirmation process 450 finally disconnects itself (the switchboard) from the call.
  • Process 550 will search if there is any "dial-through" table defined for the IVR from Database 152. If found, Process 550 constructs a single audio file (.wav file) to contain a series of DTMF commands based on the session data collected. For example, if the destination's main menu asks the caller to enter a telephone number (TN) after DTMF-1 is received and then a sub-menu, the audio file generated by process 550 for such a short cut may have a following structure:
  • Process 570 is invoked to make a 3-way call transfer.
  • the switchboard puts the current call on hold and then makes an outbound call to the destination IVR.
  • the switchboard plays the audio message containing the short-cut sequence which will guide the destination IVR to a proper menu before connecting the original caller. This method is also known as whisper transfer since the caller will not hear the audio message played.
  • the switchboard bridges the call to the 3-way connection and then disconnects itself immediately.
  • the disclosed system uses Voice Extensible Markup Language (VoiceXML) based technology in general and focuses particularly on improving the capability of switching traffic in and out of a centralized call center environment based on changing business needs and dynamics of existing and future IVR applications.
  • VoIPXML Voice Extensible Markup Language
  • the software architecture is particularly applicable to the call center operations of large enterprises where many of their existing IVR applications are written in proprietary programming languages and have to co-exist with VoiceXML-based IVR applications.
  • Rule engines used to power the system may be assembled from various light-weight modules that are specially designed for real-time responses when callers are switched in and out of the switchboard from one IVR to another.

Abstract

The present application discloses a call routing system and a method of communicating with a call originator. The call routing system includes a voice converted data module having an input to receive an incoming call, an interactive voice response dialog module responsive to the voice converted data module; and a call routing module responsive to the voice converted data module. The call routing module is to route the incoming call to a destination. The method of communicating with an originator of a call includes receiving a call at an automated call handling system; performing an evaluation of the call based on a set of business rules; routing the call to an interactive voice response unit based on the evaluation, and in response to the call, automatically scheduling and sending an email to the originator of the call. The email includes a targeted communication message relating to the subject matter of the call.

Description

VOICEXML AND RULE ENGINE BASED SWITCHBOARD FOR INTERACTIVE VOICE RESPONSE (IVR) SERVICES Hisao M. Chang
Field of the Disclosure This disclosure relates generally to telecommunication systems in both public or private circuit- switched telephone networks (PSTN) and Internet-based Voice-over-IP (VoIP) networks
BACKGROUND Certain early work in call routing technologies are based on previous generations of interactive voice response (IVR) platforms where sharing a centralized business logic and decision source among hundreds of isolated IVR systems within an enterprise is not technically feasible. When calls come to one IVR node, the business logic that decides where to route the call to another IVR node or live agent is hardwired into the service logic being executed on that node. It is difficult to maintain the consistency or update such business logic for any enterprise with a large number of IVR platforms installed in multiple locations.
More recent systems use automatic call distribution (ACD) using a proprietary application programming interface (API) in conjunction with various computer telephony interface (CTI) technologies. The routing logic in the ACD is hardcoded in software programs running on the ACD. Similarly, when one IVR decides to send the call to another IVR or to a live agent via CTI, it cannot access up-to-the-minute business logic in order to determine the best routing strategy. Instead, individual IVRs rely on their own routing table which reside on individual servers. When there are multiple ACD nodes and dozens of IVR platforms across an enterprise call center environment, it is very difficult to maintain a common image across all of these routing tables to reflect a centralized business logic on a real-time basis.
Accordingly, there is a need for an improved system and method of handling calls in an enterprise call center environment.
DETAILED DESCRIPTION The present application discloses a call routing system and a method of communicating with a call originator. The call routing system includes a voice converted data module having an input to receive an incoming call, an interactive voice response dialog module responsive to the voice converted data module; and a call routing module responsive to the voice converted data module. The call routing module is to route the incoming call to a destination. The method of communicating with an originator of a call includes receiving a call at an automated call handling system; performing an evaluation of the call based on a set of business rules; routing the call to an interactive voice response unit based on the evaluation, and in response to the call, automatically scheduling and sending an email to the originator of the call. The email includes a targeted communication message relating to the subject matter of the call.
The disclosed system provides a VoiceXML based software-driven switchboard powered by multiple rule engines that routes calls from one source to another. Referring to FIG. 1, a system for handling calls is shown. The system includes a voice converted data module (e.g. VoiceXML root engine 100), an IVR dialog engine 120, and a routing engine 130. The VoiceXML root engine 100, the IVR dialog engine 120, and the routing engine 130 are all coupled to an application server 170. The application server 170 is coupled to a database 116 to store business rules and logic. The VoiceXML root engine 10O is coupled to a second database 114 which includes DNIS rule tables. The VoiceXML root engine 10O is coupled to the application server via connection 112 and is coupled to the DNIS rule table 114 via a connection 110. The VoiceXML root engine 100 is coupled to the IVR dialog engine 120 via connection 113. The VoiceXML root engine 100 has an input responsive to various incoming IVR applications 106 (IVR1, IVR2 to IVRn) and internet-based telephony systems such as the session internet protocol (SIP) phone 102. The I R dialog engine 120 is coupled to a computer telephony interface (CTI) 140 via connection 121. The computer telephony interface (CTI) 140 is coupled to a customer relationship management (CRM) database 1 42 via connection 141. Connection 141 may carry a telephone number request and may retrieve customer information related to that telephone number from the CRM 142.
The CTI 140 is coupled to an agent terminal 147 via connection 146 and is coupled to a personalized call hold queue 102. The personalized queue 102, is routed to agent queues 104 having access to an audio content library 154. The agent queue 104 may be routed to particular types of automated call handling systems, such as billing system 156, repair system 157, and collection system 158. These subject matter based call handling systems may route calls to an agent terminal to provide customer assistance. Alternatively, the subject matter call handling systems may be connected to interactive voice response units to provide automated and computer generated responses to customer inquiries.
The routing engine 130 is coupled to an internet connection 150 via web agent 134 and connection 132. The web agent 134 may provide a telephone number 141 to customer relationship management database 142 for the retrieval of additional information associated with the telephone number for a given customer. An example of such information includes a customer history, prior transactions, address, name and call profile preferences. The web agent 134, via the web interface 150, may provide electronic communication such as email notifications 160. The routing engine module 130 is coupled to a destination IVR rule table 152 via connection 131. In addition, the routing engine 130 is connected to logic, at decision step 162, to determine whether a live agent is required, at decision step 162 for further processing of calls being handled. Where an agent is required, processing continues from decision block 162 to CTI 140, and where an agent is not required, processing continues to processing block 135 for an application to application connection to a designated destination IVR application 180.
Based on a caller profile associated with the telephone number and based on data retrieved from the CRM database 142, CTI 140 may set an optional flag for the call that is provided in the agent queue. If a flag is set and the queue is long, the call may be bridged to a selected audio clip stored in the audio content library database 154. A customer with a particular call profile may then receive product information deemed to be interesting to the caller while the caller is waiting in the queue. When a call proceeds to the queue and is routed to an agent terminal 147, a screen pop may be displayed at the agent terminal 147 which is initiated by CTI 140. The screen pop may contain specific information associated with the caller's telephone number and may be automatically populated on the agent screen based on customer information retrieved from the CRM database 142. An example of such information is a customer size category such as small business, individual or large business and preferred call treatment.
The disclosed system provides a VoiceXML based software-driven switchboard powered by multiple rule engines that routes calls from one source to another. The switchboard offers four basic programmable paths as follows:
Figure imgf000005_0001
Switching logic inside the system is downloadable over the web from a centralized data source containing business logic and/or rules using standard HTTP interface. This data source 1 16 may be managed by a relational database management system or emerging technologies such as XML server (or XML database). The business logic database 116 may include rules based on the caller's telephone number, time of day, type of services interest to them in the past, their personal profile, and the customer segmentation (mid- class, upper-middle-class, high-rollers, etc.). The business logic database 116 may also contain a location driven rule subset such that the switchboard can use location information associated with the call to determine whether the caller is physically closer to a particular facility. The location information may be acquired using a WIFI or wireless DSL network. For example, if the caller (while visiting the new city) asks for a top-10 movie, the switchboard can pre-load a list of the theaters nearby that show that particular movie, the subsequent dialog can provide relevant information to the caller. Because the system may be built as a web server, an enterprise can choose to deploy multiple systems that can present the same "image" to all callers by using the trigger-based refreshing mechanism supported by VoiceXML Root Engine 100. Such a trigger could be a scheduled event such as loading new switching logic every Sunday at 2 AM or pulling a new order from a given URL every 30 minutes.
VoiceXML Root Engine 100 is activated on from its idol position by an incoming call. For any call coming from a traditional time division multiplexing (TDM) based telephone network, the TDM network will deliver a DNIS associated with that call. Once activated, the VoiceXML Root Engine 100 first checks if the DNIS is defined in the Valid DNIS Rule Tables 1 14 for that call period. If not, the switchboard can be preprogrammed to either 1) not to answer the call or 2) play a pre-defined announcement and then terminate the call. If defined, the VoiceXML Root Engine 100 may launch a request via Link 1 12 to be executed on a J2EE Application Server 100 which in turn triggers a set of business rules and logic stored in Database 1 16 or encoded in a run-time rule engine residing on the application server.
Based on the business rules/logic matching to the DNIS and telephone number (TN) of the caller, if it is available and confirmed via ANI (automated number identification) or by the incoming IVR, a set of IVR dialogs in the form of VoiceXML pages is sent via Link 108 to IVR Dialog Engine Process 120. Process 120 will then engage a voice dialog with the caller using a set of pre-built statistical language models (SLM) designed specifically for a given DNIS profile. If the caller's request is fully understood by Process 120, it sends a message (Task ID) via Link 122 to Routing Engine 130. Routine Engine decodes the message and determine if the call should be best handled by a live agent. If yes, it tells the switchboard to connect the call to CTI 140.
CTI 140 first checks with Customer Relationship Management (CRM) system 142 using TN via Link 141 associated with the caller. CRM 142 may decide based on the contact history for this customer that a personalized message, for example for consumer customers, or special message should be played to the caller if the Agent queue is relatively long for that time of day. For example, a large number of calls sitting in the Agent Queue for Billing may just want to find out their monthly account balance around a due date window. In this case, CRM 142 can form a text message and put it in a personalized queue process 102 for those selected callers. Process 102 may use advanced text-to-speech (TTS) technology to convert the text message into an audio file. When the caller's turn comes, Process 102 may play that audio file to the caller and send the call to a group queue process 104 identified by Routing Engine 130. Process 104 maintains in real time a Task-ID to Skill-Set mapping table and uses this table to send the call to a specific queue served by a matching skill-qualified agent that is available at that time.
Process 102 may make an advanced reservation via process 104 in order to reserve a slot in the agent queue identified by process 104. For example, for an agent queue, such as a billing queue, with an estimated waiting time of about 5 minutes, process 102 can customize the personalized message to be about 4 minutes and 45 seconds. Thus, after the caller finishes listening to their personalized message, they will be placed in their reserved position in the billing queue for a much short wait time before served by a live agent.
Unlike a personalized queue, for a group queue, such as a generalized billing queue connected via link 105, each of the callers in that queue will hear the same message/music or product announcement while waiting to be connected to an agent. A Task ID obtained by dialog engine module process 120 can be used to dynamically trigger a different group message stored in Audio Content Library 154. For example, if the switchboard suddenly receives a few thousands calls within a very short period of time that are related to broadband Internet connection, a special group message may be invoked for all the calls sitting in the repair queue.
When a CTI 140 detects an idle agent, the CTI 140 sends the call context data via link 146 to the agent's desktop 147 by populating various screen fields. Then, CTI 140 may play a chained message from either the voice recordings of the caller or a number of concatenated TTS-generated audio messages associated with the Task ID. This is known as whisper transfer because the caller will not hear these audio messages while the agent is listening to them. Whisper transfer is particular useful when the data link 146 is not initially available for the implementation of the switchboard in an enterprise call center operation.
If Routing Engine 130 finds a destination IVR application 180 (e.g. IV Ra in the drawing) that matches to Task ID, it will check, via link 131 the destination IVR rule tables stored in database 152. Based on the structured rules and the interface template found for that destination IVR application, the switchboard activates a software connector 135 which composes various text and/or audio messages in a format readable by the destination IVR 180. If the destination IVR 180 (e.g. IVRa) is another VoiceXML-based IVR application, connector 135 can use VoiceXML standards based application-to-application connection methods, such as <submit> to pass the call and then release the call from the switchboard. If not, connector 135 can physically transfer the call to the destination IVR 180 (i.e. IVRa) and at the same time pass the call history via in-band or out-band methods.
Referring to FIG. 2, further details of a call center system is shown. The system includes IVR applications 206, SIP end point 202, a telephony communication instrument such as phone 204, and various additional IVR applications 208. The communication inputs are received at module 210 which is a switchboard routing module and processing continues for the call treatment to telephony media processor 211 and SIP listener 212. The telephony media processor 21 1 may retrieve DNIS rule tables from database 114. An output from telephony media processor 211 and SIP listener module 212 is routed to decision logic 221 where it is determined whether the call is defined in the DNIS rule table. When the call is defined in the DNIS table, processing continues by accessing business rule logic database 116. Where the call is not from a defined DNIS, then for the unknown DNIS, processing is routed to module 213 to construct a starting document for a default page. The default page for module 213 is then forwarded to application server 240. Where the call is from a defined DNIS and after the business rule logic and rules have been retrieved from database 116, processing continues to module 234 where a starting document is constructed for pre-defined CGU types based on the DNIS, time of day, day of the week, holiday and telephone number. The resulting page is then forwarded as message 225 to the application server 240.
Also shown in FIG. 2 is an interconnection 1 13 between the VoiceXML root engine module 100 and the IVR dialog engine module 120. The IVR dialog engine module 120 is used to retrieve a document at the system URL as indicated at 241. In addition, an XML version document 215 is constructed and then passed back to the VoiceXML root engine 100 for additional call processing.
FIG. 2 illustrates detailed processing logic being executed after a call arrives at the switchboard but before the first prompt is played by the IVR dialog engine 120. For calls coming from a SIP (Session Initiation Protocol) endpoint 202, Root Engine 100 has a built-in firewall to automatically accept or reject a corresponding http request based on their originating host IP address. If the access is granted, an http request (will wake up SIP listener process 212 which will then take a proper action. If calls come from a TDM telephone network, it will trigger one of telephony media processors 211 on the switchboard. Process 211 can be pre-programmed to reject certain unknown DNIS, such as by not answering the call at all. In addition to DNIS, the TDM network may also deliver ANI which may or may not correspond to the TN for the calling customer. For SIP calls, the TN is normally delivered as an argument attached to an http request, such as follows:
http://IVRswitchboard.sbc.com/cctp_ACR_homepage.vxml?TN=5125551234&Type="Billing"&...
If DNIS is not defined in Database 114, decision step 221 will activate process 213, which will construct a VoiceXML document containing the default dialog: CGU(<default>). This default dialog tries to reach customer goal understanding (CGU) without knowing where the call came from (since an associated DNIS is not defined in database 114.)
If DNIS is defined link 216 or SIP call link 214 is determined to have originated from an authorized IP host, the root engine 100 will immediately fetch a starting document 215 from a known web server, or use a cached version. A first actionable tag <vxml> inside document 215 may trigger the switchboard system to fetch a root document written in VoiceXML and then pass it to a built-in VoiceXML run-time interpreter which then executes the processing logic specified in this root VoiceXML document.
If the DNIS is not on the excluded list, process 211 will search Database 114 to determine if there are any special rules associated with this DNIS. Decision 221 may consult Database 116 to determine which CGU dialog should be loaded based on the DNIS/URL and TN. Once a match is found from Database 116, this root document may instruct the switchboard to activate a software constructor 234. Constructor 234 may run on a standard J2EE Application Server. The input link 224 to constructor 234 contains business rules and processing logic defined for a group of DNIS/URL (e.g., all the DNIS associated with a single billing number for that enterprise's customers) and TN if available (from either the caller's ANI or passed from an incoming IVR application (e.g., IVR2 as shown in the drawing). Based on a set of pre-defined CGU dialog templates, constructor 234 builds in real-time a set of dynamic VoiceXML pages and store the first page at a pre-defined location according to document 215. After that, Root Engine 100 returns control to the switchboard. After the return, the VoiceXML interpreter continues to process the first VoiceXML form (id="CGU") specified in the starting document. The tag <submit> inside the VoiceXML form CGU will cause the switchboard to activate IVR Dialog Engine 120 by fetching the page just generated.
FIG. 3 illustrates a method of routing a call and providing follow-up electronic notifications. As shown, a call is received at an automated call system, at 302. An example is a call received at an incoming IVR. A call evaluation based on business logic is then performed, at 304. Based on the call evaluation, the call is routed to a destination IVR or to an agent queue, at 306. The call is then handled by the agent or the destination IVR. In certain situations, a follow-up notification to the caller is desirable. An example is a customized marketing promotion that is matched to certain characteristics of the caller or the subject matter discussed by the caller during the call to the IVR. Based on the call and the caller profile, an electronic notification may be scheduled for delivery at a selected time to send an email to the caller. The email may include a targeted communication message, such as an advertisement or other promotion, that relates to the subject matter of the call processed by the IVR at the call center system, as shown at 308. With this method, permission based targeted marketing programs using email may be automatically distributed and scheduled for callers to a call center. For example, the caller may have a problem that is not solved by a live agent or the destination IVR, such as a customer request for certain information. The electronic notification system may be used to send an email to the caller with the information requested by the caller. The disclosed method may allow for follow-up caller service, enhanced customer care, and cross selling capabilities.
Referring to FIG. 4, further details of methods of using an IVR dialog engine module 120 and the call center system are shown. Inputs including the model VoIP telephone number and other data retrieved from VoiceXML routing engine module 100 is received as inputs 113 at the module 410. At 410, specific CGU dialog modules are loaded and session records are stored at the session record database 426. A CGU record is processed at 420 and compared to decision threshold logic, at 421. An initial threshold may be a 20% decision threshold and may require retrieval and access to offline tuning data 424. A CGU confidence determination is made at decision step 422. If the CGU confidence level is low, then error handling module 430 is accessed which may result in a bail out of the process at 460. If the confidence factor at 422 is a medium level, then the CGU is loaded and direct dialog models are handled at 414 and 440. A DDM confidence factor is then checked at decision step 444. Where the CGU confidence level is high, a confirmation occurs at 450 and the routing engine is instructed with message 402 to handle routing of the call, via routing engine 130. Referring again to decision step 444, if the DDM confidence level is low, a bail out occurs at 448 and the call transfer module 326 is accessed to complete the call. If the DDM confidence level is a medium level and a CGU level is loaded at 442, the processing continues at 422. In addition, the call transfer module 468 provides instructions 469 to the CTI 104 as described above.
As shown in FIG. 4, process 410 reads a call profile created dynamically by VoiceXML Root Engine 100 for each call. The call profile specifies which CGU dialog modules should be used for this caller (if TN is available) or for any caller dialing into a group of DNIS numbers associated with a published number representing a business category such as consumer-billing or consumer-repair. In addition, the profile may also contain control codes from an incoming IVR so that the CGU dialog modules can continue a dialog with the caller in an efficient and user-friendly manner. For example, if prior to being sent to the switchboard, the incoming IVR application (e.g., IVRl) already asked the caller to select a language (English, Spanish, or etc.), the IVR application will have an option to create a special control code (e.g., LANG=1 where '1' indicates English as a preferred language by the caller) and then pass the control code with other session variables, such as the TN via a shared session records database 426. Alternatively, an incoming IVR application can choose to send the control codes via an in-band signaling method (such as channel associated signaling (CAS)) to trigger a dual tone multi-frequency (DTMF) reader inside process 410. The DTMF reader reads the control codes generated from the incoming IVR application and uses these codes to modify the logic of the CGU dialog modules accordingly. For example, if the caller already selected the language while being connected to the IVR application, the CGU dialog will not ask the same language question again.
Process 420 employs a selected CGU dialog (most often a highly focused CGU dialog designed specifically for a certain profile such as consumer-billing or business-payment etc) to gather further information about the caller's goal (why they are calling and so on). If the CGU dialog is able to recognized their goal, process 420 sends a confidence score of that recognition to process 421 which controls the decision threshold. The decision threshold may be periodically changed based on an offline tuning database 424. For example, when the switchboard is initially installed, database 424 may only contain the tuning data collected from a few thousands of calls. At that initial stage, process 421 may choose to use a very tight threshold to determine if the confidence score from a CGU dialog is high enough to be acceptable or not. As the size of Database 424 grows over time, the decision threshold may be automatically adjusted to achieve the balance desired (between misunderstanding a customer's goal and rejecting the assessed CGU). Based on fuzzy logic inside process 420, decision 422 will make a final determination as to whether the confidence score from the CGU dialog is low, medium, or high. If the confidence score is high, IVR Dialog Engine will invoke confirmation module 450 which will inform the caller 1) the goal recognized in terms of a set of pre-defined user tasks, and 2) what the caller can expect next — to be sent to another IVR application or to an agent queue. Then, IVR Dialog Engine will send the task ID along with other session data via link 402 to routing engine 130.
If the threshold is medium, process 414 will load a set of specific direct dialog modules (DDM) based on the outcome of the CGU Dialog Process 420. Such an outcome is represented by a group ID so that DDMs (<ID>) loaded have a focused conversation with the caller to further clarify what they really meant from what they said. For example, if a CGU (<Consumer:Billing>) is not determinative of whether the caller really wants to a) get information about their bill or b) give information about their bill, block 414 can load the two DDMs and then pass the control to process 440. If DDM process 440 is able to successfully recognize the customer's goal with a high confidence, the caller will be sent to confirmation process 450. If decision 444 receives a medium confidence score from process 440, it may choose to load a different CGU dialog and start the customer goal determination process again and by pass the control to Process 420. For example, the DDMs used in Process 440 may reach a conclusion that the call is not really about billing. Instead, what the caller really wants is to pay their bill. If that is the case, a CGU (<Payment>) will be loaded.
If decision 422 considers the confidence score from the CGU dialog process 420 to be low (or a failed recognition generates no confidence score at all), a set of error handling modules (EHM) will be invoked to recover from such a situation such as giving the caller another chance or simply bailing out to process 460, via the call transfer module (CTM).
Depending upon the useful information collected during such a call interactive problem determination session, CTM 468 may decide to set various flags for playing a personalized message when the call is sent to a personalized queue. In addition, CTM 468 can be configured to set a flag for various agent queues such as billing, repair, and etc. When such flags are set, the caller may hear a customized message common to all the callers in that agent queue (instead of meaningless music-on-hold). If the last recognition event (from CGU dialog or DDM dialog) produced an audio recording of the caller's utterance, CTM 468 may compose an appropriate audio message for the agent to listen to. Such an audio message may start with an introduction tone followed by the caller's utterance(s) selected and followed by an ending tone. If there is a confirmed recognition result from the session, a corresponding text message will be formatted to feed CTI 140 via link 469 for a proper screen pop at the agent's desktop. Finally, CTM 468 has an option to prepare a text message related to the session so that the message may be used for an outbound E-channel delivery such as an email notification.
Referring to FIG. 5, further details of the routing engine module 130 are shown. The routing engine module 130 is coupled to application server 170. Additional inputs received from the IVR dialog engine 120 are received as a task ID, telephone DNIS, and session data 122 at the business rule and logic processing module 53 1. The task ID, telephone DNIS, and telephone number are passed to each notification module 515 and may be used to access the business rule logic database 116. At decision block 502, the task ID is compared to determine whether agent handling is appropriate. When agent handling is not needed, a particular IVR application is identified at 520 and destination IVR rule tables 152 are accessed. When IVR identification is retrieved, then processing continues to the decision step 525 to determine if the IVR application is VoiceXML compliant. If so, processing continues to set-up the application to application transferring module 530. In the case where the task ID is best handled by an agent, processing continues at module 526, which accesses a call transfer module. A call transfer module 526 performs steps such as setting a flyer for personalized messages, sending a flag for a category queue, preparing audio messages for the agent, preparing text messages for a screenpop via a CTI, and preparing data for outbound e-channel delivery. Processing is then followed by instruction 521 being communicated to CTI 504 to further interface with the agent terminal.
In the situation where the IVR application is not VoiceXML compliant, at 525, then a determination is made as to whether the IVR application supports an external data interface. If not, processing continues at module 550 to search a dial-through table for the IVR. Thereafter, a three-way call transfer may be made at 570 and routing to a final destination IVR 180 is handled. If the IVR application does support an external data interface, then delivery of session data to the application occurs, at 540, and a two-way call transfer is handled, at module 560, prior to final routing to the destination IVR 180.
In the situation where the IVR application is VoiceXML compliant, at 525, once a pre-defined task is matched during the dialog with the caller (and confirmed), IVR Dialog Engine sends the applicable session data such as <Task-ID>, TN, and DNIS to process 531. Process 531 searches Database 116 to determine how the call should be handled given the business logic or processes associated with such a task. The search process link 109 can be executed by a rule engine which typically resides on a J2EE application server. As a part of the execution logic, decision 502 will determine whether the task should be handled by a live agent instead of being routed to another IVR application. If Yes, the control is passed to process 526 (CTM).
If not, process 520 is invoked to identify a proper IVR (destination IVR-ID) application to be routed and then uses <IVR-ID> to search a database containing destination IVR profiles (Database 152) via link 510. Based on the profile pre-defined for the destination IVR (IVR-ID), decision 525 determines if the IVR is VoiceXML capable. If yes, the caller is essentially sent to another VoiceXML application through process 530 using standards-based application-to-application transfer methods such as <submit> which can easily pass all session related data to the VoiceXML-based IVR application via Link 531.
If the destination IVR is not VoiceXML capable, decision 535 determines whether the IVR is capable of supporting any external data interface to receive the session data. If yes, process 540 is invoked to deliver the session data to the destination IVR via a shared database or using a specific software adapter built specifically for that IVR. After delivering the session data, process 560 is invoked to ask the switchboard to make a two-way transfer by making an outbound call to the destination IVR first and then bridge the call that has been put on hold after confirmation process 450 finally disconnects itself (the switchboard) from the call.
If the destination IVR does not support any external data interface, Process 550 will search if there is any "dial-through" table defined for the IVR from Database 152. If found, Process 550 constructs a single audio file (.wav file) to contain a series of DTMF commands based on the session data collected. For example, if the destination's main menu asks the caller to enter a telephone number (TN) after DTMF-1 is received and then a sub-menu, the audio file generated by process 550 for such a short cut may have a following structure:
Figure imgf000012_0001
After such an audio file is constructed, Process 570 is invoked to make a 3-way call transfer. First, the switchboard puts the current call on hold and then makes an outbound call to the destination IVR. Upon the connection, the switchboard plays the audio message containing the short-cut sequence which will guide the destination IVR to a proper menu before connecting the original caller. This method is also known as whisper transfer since the caller will not hear the audio message played. At the end of the playback of the audio message, the switchboard bridges the call to the 3-way connection and then disconnects itself immediately.
The disclosed system uses Voice Extensible Markup Language (VoiceXML) based technology in general and focuses particularly on improving the capability of switching traffic in and out of a centralized call center environment based on changing business needs and dynamics of existing and future IVR applications. The software architecture is particularly applicable to the call center operations of large enterprises where many of their existing IVR applications are written in proprietary programming languages and have to co-exist with VoiceXML-based IVR applications. Rule engines used to power the system may be assembled from various light-weight modules that are specially designed for real-time responses when callers are switched in and out of the switchboard from one IVR to another.
The above disclosed subject matter is to be considered illustrative, and not restrictive, and the appended claims are intended to cover all such modifications, enhancements, and other embodiments which fall within the true spirit and scope of the present invention. Thus, to the maximum extent allowed by law, the scope of the present invention is to be determined by the broadest permissible interpretation of the following claims and their equivalents, and shall not be restricted or limited by the foregoing detailed description.

Claims

WHAT IS CLAIMED IS:
1. A call routing system comprising: a voice converted data module having an input to receive an incoming call; an interactive voice response dialog module responsive to the voice converted data module; and a call routing module responsive to the voice converted data module to route the incoming call to a destination.
2. The system of claim 1, further comprising an application server coupled to the voice converted data module, the interactive voice response dialog module, and the call routing module, the application server having access to a business logic database.
3. The system of claim 2, further comprising destination rules stored in an interactive voice response database, the destination rules accessible by the routing engine.
4. The system of claim 2, wherein the business logic database includes call treatment rules based upon at least one of a customer type, time of day, type of service, type of call, size of customer, and personalized caller information.
5. The system of claim 4, wherein the call routing module routes calls using a routing priority based upon the call treatment rules.
6. The system of claim 2, wherein the business logic database includes call treatment rules that are customized for a single enterprise.
7. The system of claim 2, further comprising a distributed computer network interface to the call routing module.
8. The system of claim 7, wherein the distributed computer network interface provides access to a customer database.
9. The system of claim 8, wherein the distributed computer network interface is coupled to a computer network, wherein the computer network is the internet, and wherein the computer network is configured to communicate electronic mail messages in response to the call routing module.
10. The system of claim 1, further comprising a personalized call queue for temporarily holding calls to be routed.
11. The system of claim 10, further comprising an audio library stored in a computer memory, at least one audio recording from the audio library available to played to callers in the personalized call queue.
12. The system of claim 1, further comprising a plurality of automated call response destinations.
13. The system of claim 12, wherein the plurality of automated call response destinations includes a billing destination, a repair destination, and a bill collection destination.
14. The system of claim 13, wherein a call routed to at least one of the plurality of automated call response destinations is connected to an agent terminal such that the call is routed to a live agent at the call agent terminal.
15. The system of claim 1, wherein the voice converted data module is responsive to a directory number rule table stored in a computer memory.
16. The system of claim 15, wherein the directory number rule table includes validated directory numbers that may be used to validate incoming calls.
1 . The system of claim 1, further comprising a computer telephony interface responsive to the interactive voice response dialog module.
18. The system of claim 17, wherein the computer telephony interface is coupled to a call center agent terminal.
19. The system of claim 18, wherein a screen display is launched at the call center agent terminal based on a command from the computer telephony interface.
20. The system of claim 19, wherein the screen display is a screen pop that includes session specific information collected from the caller's telephone number and wherein the screen display includes information gathered from a customer relationship manager database.
21. The system of claim 17, wherein the computer telephony interface retrieves a call profile from a customer relationship management database.
22. The system of claim 21, wherein an audio file is retrieved and played to the caller based on the call profile.
23. The system of claim 22, wherein the audio file includes product information targeted based upon the call profile.
24. The system of claim 23, wherein the production information is derived from a product promotion and wherein the product information is targeted based on demographic information included in the call profile.
25. The system of claim 1, wherein the voice converted data module is implemented using voiceXML.
26. The system of claim 1, wherein the incoming call is received from an internet based communication device.
27. The system of claim 26, wherein the internet based communication device is a SIP phone.
28. The system of claim 1, wherein the incoming call is received from a first interactive voice response unit and is routed to a second interactive voice response unit.
29. A method of communicating with an originator of a call, the method comprising: receiving a call at an automated call handling system; performing an evaluation of the call based on a set of business rules; routing the call to an interactive voice response unit based on the evaluation; in response to the call, automatically scheduling and sending an email to the originator of the call, the email including a targeted communication message relating to the subject matter of the call.
30. The method of claim 29, wherein the subject matter of the call includes a customer request and wherein the email includes information responsive to the customer request.
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Families Citing this family (250)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8645137B2 (en) 2000-03-16 2014-02-04 Apple Inc. Fast, language-independent method for user authentication by voice
US8041023B1 (en) * 2000-09-29 2011-10-18 Aspect Software, Inc. System and method of using a phone to access information in a call center
US8180034B2 (en) * 2001-07-27 2012-05-15 Alcatel Lucent Apparatus, and associated method, for a CTI-enabled SIP-phone
US20050089155A1 (en) * 2003-10-28 2005-04-28 Isenberg Neil E. Technique for dynamically prioritizing communication calls to information/call centers
TWI231441B (en) * 2003-12-24 2005-04-21 Inst Information Industry Automated integration method of hardware/software interface for SIP development
US7742580B2 (en) * 2004-02-05 2010-06-22 Avaya, Inc. Methods and apparatus for context and experience sensitive prompting in voice applications
US7580837B2 (en) 2004-08-12 2009-08-25 At&T Intellectual Property I, L.P. System and method for targeted tuning module of a speech recognition system
US20060075449A1 (en) * 2004-09-24 2006-04-06 Cisco Technology, Inc. Distributed architecture for digital program insertion in video streams delivered over packet networks
US7149303B1 (en) * 2004-09-29 2006-12-12 Sprint Communications Company, L.P. System and method for optimized distribution of calls to call center resources
US7870590B2 (en) * 2004-10-20 2011-01-11 Cisco Technology, Inc. System and method for fast start-up of live multicast streams transmitted over a packet network
US7260191B1 (en) * 2004-10-26 2007-08-21 Sprint Communications Company L.P. System and method for interactive voice response call processing with external routing and application flow control
US7242751B2 (en) 2004-12-06 2007-07-10 Sbc Knowledge Ventures, L.P. System and method for speech recognition-enabled automatic call routing
US8838454B1 (en) * 2004-12-10 2014-09-16 Sprint Spectrum L.P. Transferring voice command platform (VCP) functions and/or grammar together with a call from one VCP to another
US7751551B2 (en) 2005-01-10 2010-07-06 At&T Intellectual Property I, L.P. System and method for speech-enabled call routing
US7940913B2 (en) * 2005-05-11 2011-05-10 Cisco Technology, Inc. System and method for improved contact center services to disabled callers
US7636432B2 (en) * 2005-05-13 2009-12-22 At&T Intellectual Property I, L.P. System and method of determining call treatment of repeat calls
US8027459B2 (en) * 2005-05-16 2011-09-27 Cisco Systems, Inc. System and method for providing queue time credit for self-servicing callers
US7693274B2 (en) * 2005-05-20 2010-04-06 Cisco Technology, Inc. System and method for return to agents during a contact center session
JP4645320B2 (en) * 2005-06-22 2011-03-09 ブラザー工業株式会社 Communication device
US7957520B2 (en) * 2005-07-14 2011-06-07 Cisco Technology, Inc. System and method for responding to an emergency at a call center
US8677377B2 (en) 2005-09-08 2014-03-18 Apple Inc. Method and apparatus for building an intelligent automated assistant
US20070067197A1 (en) * 2005-09-16 2007-03-22 Sbc Knowledge Ventures, L.P. Efficiently routing customer inquiries created with a self-service application
US7463730B2 (en) * 2005-10-06 2008-12-09 Cisco Technology, Inc. System and method for caller confirmation of call center agent notes
US8139730B2 (en) * 2005-10-11 2012-03-20 International Business Machines Corporation Integrating an IVR application within a standards based application server
US7680047B2 (en) 2005-11-22 2010-03-16 Cisco Technology, Inc. Maximum transmission unit tuning mechanism for a real-time transport protocol stream
US7864944B2 (en) * 2005-11-29 2011-01-04 Cisco Technology, Inc. Optimal call speed for call center agents
US8155696B2 (en) * 2005-12-02 2012-04-10 At&T Mobility Ii Llc Devices, systems and methods for scenario based services and intelligent user feedback
US8228925B2 (en) * 2005-12-14 2012-07-24 Alcatel Lucent Interactive voice response system for online and offline charging and for multiple networks
EP1972129A4 (en) * 2006-01-11 2012-03-07 Grape Technology Group Inc An enhanced directory assistance system with peripheral call queuing and handling
US7965771B2 (en) 2006-02-27 2011-06-21 Cisco Technology, Inc. Method and apparatus for immediate display of multicast IPTV over a bandwidth constrained network
US8494152B1 (en) 2006-02-28 2013-07-23 Allstate Insurance Company Systems and methods for automated call-handling and processing
US8036373B2 (en) 2006-03-07 2011-10-11 Cisco Technology, Inc. Methods and systems for providing dynamic message content to callers on hold
US8218654B2 (en) 2006-03-08 2012-07-10 Cisco Technology, Inc. Method for reducing channel change startup delays for multicast digital video streams
US7653183B2 (en) * 2006-04-06 2010-01-26 Cisco Technology, Inc. Method and apparatus to provide data to an interactive voice response (IVR) system
US7694002B2 (en) * 2006-04-07 2010-04-06 Cisco Technology, Inc. System and method for dynamically upgrading / downgrading a conference session
US20070263824A1 (en) * 2006-04-18 2007-11-15 Cisco Technology, Inc. Network resource optimization in a video conference
US7573990B2 (en) * 2006-05-01 2009-08-11 Genesys Telecommunications Laboratories, Inc Accumulative decision point data analysis system for telephony and electronic communications operations
US8326927B2 (en) * 2006-05-23 2012-12-04 Cisco Technology, Inc. Method and apparatus for inviting non-rich media endpoints to join a conference sidebar session
US7606360B2 (en) * 2006-05-31 2009-10-20 Cisco Technology, Inc. Automated system and method for handling human and caller queues
US8675861B2 (en) * 2006-06-14 2014-03-18 Avaya Inc. Methods and apparatus for variable wait treatments for requests enqueued in one or more queues
US8488774B2 (en) * 2006-07-24 2013-07-16 Fmr Llc Predictive call routing
US8526336B2 (en) * 2006-08-09 2013-09-03 Cisco Technology, Inc. Conference resource allocation and dynamic reallocation
US8358763B2 (en) * 2006-08-21 2013-01-22 Cisco Technology, Inc. Camping on a conference or telephony port
US9318108B2 (en) 2010-01-18 2016-04-19 Apple Inc. Intelligent automated assistant
US8031701B2 (en) 2006-09-11 2011-10-04 Cisco Technology, Inc. Retransmission-based stream repair and stream join
US8120637B2 (en) * 2006-09-20 2012-02-21 Cisco Technology, Inc. Virtual theater system for the home
US7847815B2 (en) * 2006-10-11 2010-12-07 Cisco Technology, Inc. Interaction based on facial recognition of conference participants
US8687785B2 (en) 2006-11-16 2014-04-01 Cisco Technology, Inc. Authorization to place calls by remote users
US7693190B2 (en) * 2006-11-22 2010-04-06 Cisco Technology, Inc. Lip synchronization for audio/video transmissions over a network
US8121277B2 (en) * 2006-12-12 2012-02-21 Cisco Technology, Inc. Catch-up playback in a conferencing system
US8027839B2 (en) * 2006-12-19 2011-09-27 Nuance Communications, Inc. Using an automated speech application environment to automatically provide text exchange services
US8688805B2 (en) * 2007-01-04 2014-04-01 At&T Mobility Ii Llc Scenario based content delivery
US9100500B2 (en) * 2007-01-08 2015-08-04 Qualcomm Incorporated Methods and systems of providing local access number calling features
US8149261B2 (en) * 2007-01-10 2012-04-03 Cisco Technology, Inc. Integration of audio conference bridge with video multipoint control unit
WO2009100444A1 (en) * 2008-02-08 2009-08-13 Verbal World, Inc. Methods and apparatus for exhange of electronic communications
US8769591B2 (en) * 2007-02-12 2014-07-01 Cisco Technology, Inc. Fast channel change on a bandwidth constrained network
US8208003B2 (en) * 2007-03-23 2012-06-26 Cisco Technology, Inc. Minimizing fast video update requests in a video conferencing system
US8650030B2 (en) 2007-04-02 2014-02-11 Google Inc. Location based responses to telephone requests
US8977255B2 (en) 2007-04-03 2015-03-10 Apple Inc. Method and system for operating a multi-function portable electronic device using voice-activation
US20080253369A1 (en) 2007-04-16 2008-10-16 Cisco Technology, Inc. Monitoring and correcting upstream packet loss
US8229090B2 (en) * 2007-04-17 2012-07-24 Verizon Patent And Licensing Inc. Voice portal communications
WO2008148157A1 (en) * 2007-06-04 2008-12-11 Redtxt.Com.Au Pty Ltd Messaging service subscription
US8301757B2 (en) * 2007-06-11 2012-10-30 Enghouse Interactive Inc. System and method for obtaining in-use statistics for voice applications in interactive voice response systems
US8423635B2 (en) * 2007-06-11 2013-04-16 Enghouse Interactive Inc. System and method for automatic call flow detection
US8090840B2 (en) 2007-06-22 2012-01-03 At&T Intellectual Property I, L.P. Methods and apparatus to provide a call-associated content service
US7912963B2 (en) * 2007-06-28 2011-03-22 At&T Intellectual Property I, L.P. Methods and apparatus to control a voice extensible markup language (VXML) session
US20090003566A1 (en) * 2007-06-29 2009-01-01 Rachel Wentink System and method for scoring recorded interactions
US8289362B2 (en) * 2007-09-26 2012-10-16 Cisco Technology, Inc. Audio directionality control for a multi-display switched video conferencing system
US8023637B2 (en) * 2007-10-01 2011-09-20 Convergys Cmg Utah, Inc. Method and system for hierarchy based contact routing
US10002189B2 (en) 2007-12-20 2018-06-19 Apple Inc. Method and apparatus for searching using an active ontology
US9386154B2 (en) * 2007-12-21 2016-07-05 Nuance Communications, Inc. System, method and software program for enabling communications between customer service agents and users of communication devices
US9330720B2 (en) 2008-01-03 2016-05-03 Apple Inc. Methods and apparatus for altering audio output signals
US8787153B2 (en) * 2008-02-10 2014-07-22 Cisco Technology, Inc. Forward error correction based data recovery with path diversity
US8996376B2 (en) 2008-04-05 2015-03-31 Apple Inc. Intelligent text-to-speech conversion
US10496753B2 (en) 2010-01-18 2019-12-03 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US8533606B2 (en) * 2008-06-13 2013-09-10 At&T Intellectual Property I, L.P. System and method for personalized hold
US20100030549A1 (en) 2008-07-31 2010-02-04 Lee Michael M Mobile device having human language translation capability with positional feedback
DE102008046431A1 (en) * 2008-09-09 2010-03-11 Deutsche Telekom Ag Speech dialogue system with reject avoidance method
US8676904B2 (en) 2008-10-02 2014-03-18 Apple Inc. Electronic devices with voice command and contextual data processing capabilities
US9003300B2 (en) * 2008-10-03 2015-04-07 International Business Machines Corporation Voice response unit proxy utilizing dynamic web interaction
US9959870B2 (en) 2008-12-11 2018-05-01 Apple Inc. Speech recognition involving a mobile device
US10241644B2 (en) 2011-06-03 2019-03-26 Apple Inc. Actionable reminder entries
US10241752B2 (en) 2011-09-30 2019-03-26 Apple Inc. Interface for a virtual digital assistant
US10255566B2 (en) 2011-06-03 2019-04-09 Apple Inc. Generating and processing task items that represent tasks to perform
US9858925B2 (en) 2009-06-05 2018-01-02 Apple Inc. Using context information to facilitate processing of commands in a virtual assistant
US9431006B2 (en) 2009-07-02 2016-08-30 Apple Inc. Methods and apparatuses for automatic speech recognition
US7684556B1 (en) 2009-07-17 2010-03-23 International Business Machines Corporation Conversational biometric coupled with speech recognition in passive mode during call hold to affect call routing
US8639513B2 (en) * 2009-08-05 2014-01-28 Verizon Patent And Licensing Inc. Automated communication integrator
CN102118521B (en) * 2010-01-05 2013-12-04 华为技术有限公司 Call routing method, device and system
US8437455B2 (en) * 2010-01-12 2013-05-07 American Express Travel Related Services Company, Inc. System, method and computer program product for globally portable interactive voice response (IVR) systems
US10276170B2 (en) 2010-01-18 2019-04-30 Apple Inc. Intelligent automated assistant
US10679605B2 (en) 2010-01-18 2020-06-09 Apple Inc. Hands-free list-reading by intelligent automated assistant
US10705794B2 (en) 2010-01-18 2020-07-07 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US10553209B2 (en) 2010-01-18 2020-02-04 Apple Inc. Systems and methods for hands-free notification summaries
US8977584B2 (en) 2010-01-25 2015-03-10 Newvaluexchange Global Ai Llp Apparatuses, methods and systems for a digital conversation management platform
US8406388B2 (en) 2011-07-18 2013-03-26 Zvi Or-Bach Systems and methods for visual presentation and selection of IVR menu
US8903073B2 (en) 2011-07-20 2014-12-02 Zvi Or-Bach Systems and methods for visual presentation and selection of IVR menu
US8682667B2 (en) 2010-02-25 2014-03-25 Apple Inc. User profiling for selecting user specific voice input processing information
US8441962B1 (en) 2010-04-09 2013-05-14 Sprint Spectrum L.P. Method, device, and system for real-time call announcement
US9118593B2 (en) * 2010-10-07 2015-08-25 Enghouse Networks Limited System and method for best value routing
US10762293B2 (en) 2010-12-22 2020-09-01 Apple Inc. Using parts-of-speech tagging and named entity recognition for spelling correction
JP5633638B2 (en) * 2011-03-18 2014-12-03 富士通株式会社 Call evaluation device and call evaluation method
US9262612B2 (en) 2011-03-21 2016-02-16 Apple Inc. Device access using voice authentication
US9329832B2 (en) * 2011-05-09 2016-05-03 Robert Allen Blaisch Voice internet system and method
US10057736B2 (en) 2011-06-03 2018-08-21 Apple Inc. Active transport based notifications
US20120310642A1 (en) 2011-06-03 2012-12-06 Apple Inc. Automatically creating a mapping between text data and audio data
US8589215B2 (en) * 2011-07-14 2013-11-19 Silver Lining Solutions Ltd. Work skillset generation
US8994660B2 (en) 2011-08-29 2015-03-31 Apple Inc. Text correction processing
US8607276B2 (en) 2011-12-02 2013-12-10 At&T Intellectual Property, I, L.P. Systems and methods to select a keyword of a voice search request of an electronic program guide
US8867708B1 (en) * 2012-03-02 2014-10-21 Tal Lavian Systems and methods for visual presentation and selection of IVR menu
US10134385B2 (en) 2012-03-02 2018-11-20 Apple Inc. Systems and methods for name pronunciation
US9483461B2 (en) 2012-03-06 2016-11-01 Apple Inc. Handling speech synthesis of content for multiple languages
US8315209B1 (en) 2012-03-31 2012-11-20 Joingo, Llc VoIP application for a loyalty program
US9280610B2 (en) 2012-05-14 2016-03-08 Apple Inc. Crowd sourcing information to fulfill user requests
US9721563B2 (en) 2012-06-08 2017-08-01 Apple Inc. Name recognition system
US9495129B2 (en) 2012-06-29 2016-11-15 Apple Inc. Device, method, and user interface for voice-activated navigation and browsing of a document
US9576574B2 (en) 2012-09-10 2017-02-21 Apple Inc. Context-sensitive handling of interruptions by intelligent digital assistant
US9547647B2 (en) 2012-09-19 2017-01-17 Apple Inc. Voice-based media searching
EP2954514B1 (en) 2013-02-07 2021-03-31 Apple Inc. Voice trigger for a digital assistant
US9888115B2 (en) 2013-02-28 2018-02-06 Lennard A. Gumaer Media device and method of using a media device
US9368114B2 (en) 2013-03-14 2016-06-14 Apple Inc. Context-sensitive handling of interruptions
US10652394B2 (en) 2013-03-14 2020-05-12 Apple Inc. System and method for processing voicemail
AU2014233517B2 (en) 2013-03-15 2017-05-25 Apple Inc. Training an at least partial voice command system
WO2014144579A1 (en) 2013-03-15 2014-09-18 Apple Inc. System and method for updating an adaptive speech recognition model
WO2014197334A2 (en) 2013-06-07 2014-12-11 Apple Inc. System and method for user-specified pronunciation of words for speech synthesis and recognition
WO2014197336A1 (en) 2013-06-07 2014-12-11 Apple Inc. System and method for detecting errors in interactions with a voice-based digital assistant
US9582608B2 (en) 2013-06-07 2017-02-28 Apple Inc. Unified ranking with entropy-weighted information for phrase-based semantic auto-completion
WO2014197335A1 (en) 2013-06-08 2014-12-11 Apple Inc. Interpreting and acting upon commands that involve sharing information with remote devices
WO2014200728A1 (en) 2013-06-09 2014-12-18 Apple Inc. Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant
US10176167B2 (en) 2013-06-09 2019-01-08 Apple Inc. System and method for inferring user intent from speech inputs
AU2014278595B2 (en) 2013-06-13 2017-04-06 Apple Inc. System and method for emergency calls initiated by voice command
USRE49014E1 (en) * 2013-06-19 2022-04-05 Panasonic Intellectual Property Corporation Of America Voice interaction method, and device
KR101749009B1 (en) 2013-08-06 2017-06-19 애플 인크. Auto-activating smart responses based on activities from remote devices
US10296160B2 (en) 2013-12-06 2019-05-21 Apple Inc. Method for extracting salient dialog usage from live data
US9620105B2 (en) 2014-05-15 2017-04-11 Apple Inc. Analyzing audio input for efficient speech and music recognition
US10592095B2 (en) 2014-05-23 2020-03-17 Apple Inc. Instantaneous speaking of content on touch devices
US9502031B2 (en) 2014-05-27 2016-11-22 Apple Inc. Method for supporting dynamic grammars in WFST-based ASR
US9842101B2 (en) 2014-05-30 2017-12-12 Apple Inc. Predictive conversion of language input
US10078631B2 (en) 2014-05-30 2018-09-18 Apple Inc. Entropy-guided text prediction using combined word and character n-gram language models
US9715875B2 (en) 2014-05-30 2017-07-25 Apple Inc. Reducing the need for manual start/end-pointing and trigger phrases
US9760559B2 (en) 2014-05-30 2017-09-12 Apple Inc. Predictive text input
US9633004B2 (en) 2014-05-30 2017-04-25 Apple Inc. Better resolution when referencing to concepts
US9734193B2 (en) 2014-05-30 2017-08-15 Apple Inc. Determining domain salience ranking from ambiguous words in natural speech
US10170123B2 (en) 2014-05-30 2019-01-01 Apple Inc. Intelligent assistant for home automation
US10289433B2 (en) 2014-05-30 2019-05-14 Apple Inc. Domain specific language for encoding assistant dialog
US9430463B2 (en) 2014-05-30 2016-08-30 Apple Inc. Exemplar-based natural language processing
US9785630B2 (en) 2014-05-30 2017-10-10 Apple Inc. Text prediction using combined word N-gram and unigram language models
US9966065B2 (en) 2014-05-30 2018-05-08 Apple Inc. Multi-command single utterance input method
US10659851B2 (en) 2014-06-30 2020-05-19 Apple Inc. Real-time digital assistant knowledge updates
US9338493B2 (en) 2014-06-30 2016-05-10 Apple Inc. Intelligent automated assistant for TV user interactions
US10446141B2 (en) 2014-08-28 2019-10-15 Apple Inc. Automatic speech recognition based on user feedback
US9818400B2 (en) 2014-09-11 2017-11-14 Apple Inc. Method and apparatus for discovering trending terms in speech requests
US10789041B2 (en) 2014-09-12 2020-09-29 Apple Inc. Dynamic thresholds for always listening speech trigger
US9886432B2 (en) 2014-09-30 2018-02-06 Apple Inc. Parsimonious handling of word inflection via categorical stem + suffix N-gram language models
US10127911B2 (en) 2014-09-30 2018-11-13 Apple Inc. Speaker identification and unsupervised speaker adaptation techniques
US9646609B2 (en) 2014-09-30 2017-05-09 Apple Inc. Caching apparatus for serving phonetic pronunciations
US10074360B2 (en) 2014-09-30 2018-09-11 Apple Inc. Providing an indication of the suitability of speech recognition
US9668121B2 (en) 2014-09-30 2017-05-30 Apple Inc. Social reminders
US10552013B2 (en) 2014-12-02 2020-02-04 Apple Inc. Data detection
US9711141B2 (en) 2014-12-09 2017-07-18 Apple Inc. Disambiguating heteronyms in speech synthesis
US9865280B2 (en) 2015-03-06 2018-01-09 Apple Inc. Structured dictation using intelligent automated assistants
US10152299B2 (en) 2015-03-06 2018-12-11 Apple Inc. Reducing response latency of intelligent automated assistants
US9721566B2 (en) 2015-03-08 2017-08-01 Apple Inc. Competing devices responding to voice triggers
US10567477B2 (en) 2015-03-08 2020-02-18 Apple Inc. Virtual assistant continuity
US9886953B2 (en) 2015-03-08 2018-02-06 Apple Inc. Virtual assistant activation
US9899019B2 (en) 2015-03-18 2018-02-20 Apple Inc. Systems and methods for structured stem and suffix language models
US9842105B2 (en) 2015-04-16 2017-12-12 Apple Inc. Parsimonious continuous-space phrase representations for natural language processing
US10083688B2 (en) 2015-05-27 2018-09-25 Apple Inc. Device voice control for selecting a displayed affordance
US10127220B2 (en) 2015-06-04 2018-11-13 Apple Inc. Language identification from short strings
US10101822B2 (en) 2015-06-05 2018-10-16 Apple Inc. Language input correction
US9578173B2 (en) 2015-06-05 2017-02-21 Apple Inc. Virtual assistant aided communication with 3rd party service in a communication session
US10186254B2 (en) 2015-06-07 2019-01-22 Apple Inc. Context-based endpoint detection
US11025565B2 (en) 2015-06-07 2021-06-01 Apple Inc. Personalized prediction of responses for instant messaging
US10255907B2 (en) 2015-06-07 2019-04-09 Apple Inc. Automatic accent detection using acoustic models
US9826092B2 (en) * 2015-08-05 2017-11-21 Intuit Inc. Method and system for call queue messaging
CN105120373B (en) * 2015-09-06 2018-07-13 上海智臻智能网络科技股份有限公司 Voice transfer control method and system
US10671428B2 (en) 2015-09-08 2020-06-02 Apple Inc. Distributed personal assistant
US10747498B2 (en) 2015-09-08 2020-08-18 Apple Inc. Zero latency digital assistant
US9697820B2 (en) 2015-09-24 2017-07-04 Apple Inc. Unit-selection text-to-speech synthesis using concatenation-sensitive neural networks
US11010550B2 (en) 2015-09-29 2021-05-18 Apple Inc. Unified language modeling framework for word prediction, auto-completion and auto-correction
US10366158B2 (en) 2015-09-29 2019-07-30 Apple Inc. Efficient word encoding for recurrent neural network language models
US11587559B2 (en) 2015-09-30 2023-02-21 Apple Inc. Intelligent device identification
US10691473B2 (en) 2015-11-06 2020-06-23 Apple Inc. Intelligent automated assistant in a messaging environment
US10049668B2 (en) 2015-12-02 2018-08-14 Apple Inc. Applying neural network language models to weighted finite state transducers for automatic speech recognition
US10223066B2 (en) 2015-12-23 2019-03-05 Apple Inc. Proactive assistance based on dialog communication between devices
US9930174B2 (en) * 2016-01-21 2018-03-27 Hemesh Surana Plug-in extension to integrate PMS/CRM system with phone system
US10446143B2 (en) 2016-03-14 2019-10-15 Apple Inc. Identification of voice inputs providing credentials
US9848082B1 (en) * 2016-03-28 2017-12-19 Noble Systems Corporation Agent assisting system for processing customer enquiries in a contact center
EP3432558B1 (en) * 2016-04-19 2022-05-11 Huawei Technologies Co., Ltd. Communication method, apparatus and system
US9934775B2 (en) 2016-05-26 2018-04-03 Apple Inc. Unit-selection text-to-speech synthesis based on predicted concatenation parameters
US9972304B2 (en) 2016-06-03 2018-05-15 Apple Inc. Privacy preserving distributed evaluation framework for embedded personalized systems
US10249300B2 (en) 2016-06-06 2019-04-02 Apple Inc. Intelligent list reading
US10049663B2 (en) 2016-06-08 2018-08-14 Apple, Inc. Intelligent automated assistant for media exploration
DK179309B1 (en) 2016-06-09 2018-04-23 Apple Inc Intelligent automated assistant in a home environment
US10490187B2 (en) 2016-06-10 2019-11-26 Apple Inc. Digital assistant providing automated status report
US10067938B2 (en) 2016-06-10 2018-09-04 Apple Inc. Multilingual word prediction
US10509862B2 (en) 2016-06-10 2019-12-17 Apple Inc. Dynamic phrase expansion of language input
US10192552B2 (en) 2016-06-10 2019-01-29 Apple Inc. Digital assistant providing whispered speech
US10586535B2 (en) 2016-06-10 2020-03-10 Apple Inc. Intelligent digital assistant in a multi-tasking environment
DK201670540A1 (en) 2016-06-11 2018-01-08 Apple Inc Application integration with a digital assistant
DK179415B1 (en) 2016-06-11 2018-06-14 Apple Inc Intelligent device arbitration and control
DK179343B1 (en) 2016-06-11 2018-05-14 Apple Inc Intelligent task discovery
DK179049B1 (en) 2016-06-11 2017-09-18 Apple Inc Data driven natural language event detection and classification
US10474753B2 (en) 2016-09-07 2019-11-12 Apple Inc. Language identification using recurrent neural networks
US10043516B2 (en) 2016-09-23 2018-08-07 Apple Inc. Intelligent automated assistant
US11281993B2 (en) 2016-12-05 2022-03-22 Apple Inc. Model and ensemble compression for metric learning
US10593346B2 (en) 2016-12-22 2020-03-17 Apple Inc. Rank-reduced token representation for automatic speech recognition
US11204787B2 (en) 2017-01-09 2021-12-21 Apple Inc. Application integration with a digital assistant
US10417266B2 (en) 2017-05-09 2019-09-17 Apple Inc. Context-aware ranking of intelligent response suggestions
DK201770383A1 (en) 2017-05-09 2018-12-14 Apple Inc. User interface for correcting recognition errors
US10395654B2 (en) 2017-05-11 2019-08-27 Apple Inc. Text normalization based on a data-driven learning network
US10726832B2 (en) 2017-05-11 2020-07-28 Apple Inc. Maintaining privacy of personal information
DK201770439A1 (en) 2017-05-11 2018-12-13 Apple Inc. Offline personal assistant
US11301477B2 (en) 2017-05-12 2022-04-12 Apple Inc. Feedback analysis of a digital assistant
DK201770428A1 (en) 2017-05-12 2019-02-18 Apple Inc. Low-latency intelligent automated assistant
DK179496B1 (en) 2017-05-12 2019-01-15 Apple Inc. USER-SPECIFIC Acoustic Models
DK179745B1 (en) 2017-05-12 2019-05-01 Apple Inc. SYNCHRONIZATION AND TASK DELEGATION OF A DIGITAL ASSISTANT
US11436417B2 (en) 2017-05-15 2022-09-06 Google Llc Providing access to user-controlled resources by automated assistants
DK201770431A1 (en) 2017-05-15 2018-12-20 Apple Inc. Optimizing dialogue policy decisions for digital assistants using implicit feedback
DK201770432A1 (en) 2017-05-15 2018-12-21 Apple Inc. Hierarchical belief states for digital assistants
US10127227B1 (en) 2017-05-15 2018-11-13 Google Llc Providing access to user-controlled resources by automated assistants
US10303715B2 (en) 2017-05-16 2019-05-28 Apple Inc. Intelligent automated assistant for media exploration
DK179560B1 (en) 2017-05-16 2019-02-18 Apple Inc. Far-field extension for digital assistant services
US10311144B2 (en) 2017-05-16 2019-06-04 Apple Inc. Emoji word sense disambiguation
US10403278B2 (en) 2017-05-16 2019-09-03 Apple Inc. Methods and systems for phonetic matching in digital assistant services
US10657328B2 (en) 2017-06-02 2020-05-19 Apple Inc. Multi-task recurrent neural network architecture for efficient morphology handling in neural language modeling
US10445429B2 (en) 2017-09-21 2019-10-15 Apple Inc. Natural language understanding using vocabularies with compressed serialized tries
US10755051B2 (en) 2017-09-29 2020-08-25 Apple Inc. Rule-based natural language processing
US10636424B2 (en) 2017-11-30 2020-04-28 Apple Inc. Multi-turn canned dialog
US10733982B2 (en) 2018-01-08 2020-08-04 Apple Inc. Multi-directional dialog
US10733375B2 (en) 2018-01-31 2020-08-04 Apple Inc. Knowledge-based framework for improving natural language understanding
US10789959B2 (en) 2018-03-02 2020-09-29 Apple Inc. Training speaker recognition models for digital assistants
US10592604B2 (en) 2018-03-12 2020-03-17 Apple Inc. Inverse text normalization for automatic speech recognition
US10708420B2 (en) * 2018-03-22 2020-07-07 Salesforce.Com, Inc. Method and system for automatically transcribing a call and updating a record based on transcribed voice data
US10818288B2 (en) 2018-03-26 2020-10-27 Apple Inc. Natural assistant interaction
US10909331B2 (en) 2018-03-30 2021-02-02 Apple Inc. Implicit identification of translation payload with neural machine translation
US11145294B2 (en) 2018-05-07 2021-10-12 Apple Inc. Intelligent automated assistant for delivering content from user experiences
US10928918B2 (en) 2018-05-07 2021-02-23 Apple Inc. Raise to speak
US10984780B2 (en) 2018-05-21 2021-04-20 Apple Inc. Global semantic word embeddings using bi-directional recurrent neural networks
DK201870355A1 (en) 2018-06-01 2019-12-16 Apple Inc. Virtual assistant operation in multi-device environments
DK180639B1 (en) 2018-06-01 2021-11-04 Apple Inc DISABILITY OF ATTENTION-ATTENTIVE VIRTUAL ASSISTANT
US11386266B2 (en) 2018-06-01 2022-07-12 Apple Inc. Text correction
US10892996B2 (en) 2018-06-01 2021-01-12 Apple Inc. Variable latency device coordination
DK179822B1 (en) 2018-06-01 2019-07-12 Apple Inc. Voice interaction at a primary device to access call functionality of a companion device
US10496705B1 (en) 2018-06-03 2019-12-03 Apple Inc. Accelerated task performance
EP3682345B1 (en) 2018-08-07 2021-11-24 Google LLC Assembling and evaluating automated assistant responses for privacy concerns
CN109327628B (en) * 2018-12-01 2021-03-05 苏强 Intelligent voice calling system and method
US11488589B1 (en) * 2018-12-21 2022-11-01 Verisign, Inc. Transitioning voice interactions
US11924375B2 (en) * 2021-10-27 2024-03-05 Khoros, Llc Automated response engine and flow configured to exchange responsive communication data via an omnichannel electronic communication channel independent of data source
US20220166881A1 (en) * 2020-11-25 2022-05-26 Jpmorgan Chase Bank, N.A. Systems and methods for call routing using generic call control platforms

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030026409A1 (en) * 2001-07-31 2003-02-06 Sbc Technology Resources, Inc. Telephone call processing in an interactive voice response call management system
US6553113B1 (en) * 1999-07-09 2003-04-22 First Usa Bank, Na System and methods for call decisioning in a virtual call center integrating telephony with computers
US20030235287A1 (en) * 2002-06-24 2003-12-25 Michael Margolis Virtual interaction queuing using internet protocols

Family Cites Families (201)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6678360B1 (en) 1985-07-10 2004-01-13 Ronald A. Katz Technology Licensing, L.P. Telephonic-interface statistical analysis system
US5359645A (en) 1985-07-10 1994-10-25 First Data Corporation Inc. Voice-data telephonic interface control system
US4967405A (en) 1988-12-09 1990-10-30 Transwitch Corporation System for cross-connecting high speed digital SONET signals
US4953204A (en) 1989-10-17 1990-08-28 At&T Bell Laboratories Multilocation queuing for telephone calls
US5321813A (en) 1991-05-01 1994-06-14 Teradata Corporation Reconfigurable, fault tolerant, multistage interconnect network and protocol
US5455903A (en) 1991-05-31 1995-10-03 Edify Corp. Object oriented customer information exchange system and method
US6418424B1 (en) 1991-12-23 2002-07-09 Steven M. Hoffberg Ergonomic man-machine interface incorporating adaptive pattern recognition based control system
US6400996B1 (en) 1999-02-01 2002-06-04 Steven M. Hoffberg Adaptive pattern recognition based control system and method
US5335269A (en) 1992-03-12 1994-08-02 Rockwell International Corporation Two dimensional routing apparatus in an automatic call director-type system
WO1994000817A1 (en) 1992-06-22 1994-01-06 Health Risk Management, Inc. Health care management system
US5729600A (en) * 1992-06-25 1998-03-17 Rockwell International Corporation Automatic call distributor with automated voice responsive call servicing system and method
AU677393B2 (en) 1993-07-08 1997-04-24 E-Talk Corporation Method and system for transferring calls and call-related data between a plurality of call centres
US5590186A (en) 1993-12-22 1996-12-31 At & T System and method for redirecting a telephone call with call merging
US5497373A (en) 1994-03-22 1996-03-05 Ericsson Messaging Systems Inc. Multi-media interface
US5530744A (en) 1994-09-20 1996-06-25 At&T Corp. Method and system for dynamic customized call routing
US6333980B1 (en) 1994-09-28 2001-12-25 Rockwell International Corporation Automatic call distributor and method for routing incoming telephone calls based on proficiency ratings of agents
US5652789A (en) 1994-09-30 1997-07-29 Wildfire Communications, Inc. Network based knowledgeable assistant
US6173289B1 (en) 1995-07-07 2001-01-09 Novell, Inc. Apparatus and method for performing actions on object-oriented software objects in a directory services system
US6598136B1 (en) 1995-10-06 2003-07-22 National Semiconductor Corporation Data transfer with highly granular cacheability control between memory and a scratchpad area
US5946377A (en) * 1995-10-10 1999-08-31 Ast Research, Inc. Script-based DTMF information retrieval system
US5754978A (en) 1995-10-27 1998-05-19 Speech Systems Of Colorado, Inc. Speech recognition system
US5754639A (en) 1995-11-03 1998-05-19 Lucent Technologies Method and apparatus for queuing a call to the best split
EP0804850B1 (en) 1995-11-17 2005-08-03 AT&T Corp. Automatic vocabulary generation for telecommunications network-based voice-dialing
US6119101A (en) 1996-01-17 2000-09-12 Personal Agents, Inc. Intelligent agents for electronic commerce
AU1836297A (en) 1996-01-17 1997-08-11 Personal Agents, Inc. Intelligent agents for electronic commerce
US5940476A (en) 1996-06-28 1999-08-17 Distributed Software Development, Inc. System and method for identifying an unidentified caller
US7006605B1 (en) 1996-06-28 2006-02-28 Ochopee Big Cypress Llc Authenticating a caller before providing the caller with access to one or more secured resources
US5999965A (en) 1996-08-20 1999-12-07 Netspeak Corporation Automatic call distribution server for computer telephony communications
US6002689A (en) 1996-11-22 1999-12-14 Sprint Communications Co. L.P. System and method for interfacing a local communication device
US6002760A (en) 1998-02-17 1999-12-14 Genesys Telecommunications Laboratories, Inc. Intelligent virtual queue
US6044146A (en) * 1998-02-17 2000-03-28 Genesys Telecommunications Laboratories, Inc. Method and apparatus for call distribution and override with priority
US5946388A (en) 1997-02-06 1999-08-31 Walker Asset Management Limited Partnership Method and apparatus for priority queuing of telephone calls
US5923745A (en) 1997-02-28 1999-07-13 Teknekron Infoswitch Corporation Routing calls to call centers
US6094476A (en) * 1997-03-24 2000-07-25 Octel Communications Corporation Speech-responsive voice messaging system and method
US6173266B1 (en) 1997-05-06 2001-01-09 Speechworks International, Inc. System and method for developing interactive speech applications
US5897616A (en) 1997-06-11 1999-04-27 International Business Machines Corporation Apparatus and methods for speaker verification/identification/classification employing non-acoustic and/or acoustic models and databases
US6173399B1 (en) 1997-06-12 2001-01-09 Vpnet Technologies, Inc. Apparatus for implementing virtual private networks
JPH1146251A (en) * 1997-07-28 1999-02-16 Fujitsu Ltd Call center system
US6678718B1 (en) 1997-08-29 2004-01-13 Aspect Communications Corporation Method and apparatus for establishing connections
US6038293A (en) * 1997-09-03 2000-03-14 Mci Communications Corporation Method and system for efficiently transferring telephone calls
US6175621B1 (en) 1997-11-04 2001-01-16 At&T Corp. Priority call on busy
US6003011A (en) 1998-01-07 1999-12-14 Xerox Corporation Workflow management system wherein ad-hoc process instances can be generalized
US6535492B2 (en) * 1999-12-01 2003-03-18 Genesys Telecommunications Laboratories, Inc. Method and apparatus for assigning agent-led chat sessions hosted by a communication center to available agents based on message load and agent skill-set
US6366658B1 (en) 1998-05-07 2002-04-02 Mci Communications Corporation Telecommunications architecture for call center services using advanced interactive voice responsive service node
US6233332B1 (en) 1998-06-03 2001-05-15 Avaya Technology Corp. System for context based media independent communications processing
US6405159B2 (en) 1998-06-03 2002-06-11 Sbc Technology Resources, Inc. Method for categorizing, describing and modeling types of system users
US6353608B1 (en) 1998-06-16 2002-03-05 Mci Communications Corporation Host connect gateway for communications between interactive voice response platforms and customer host computing applications
US6011844A (en) 1998-06-19 2000-01-04 Callnet Communications Point-of-presence call center management system
US6269153B1 (en) 1998-07-29 2001-07-31 Lucent Technologies Inc. Methods and apparatus for automatic call routing including disambiguating routing decisions
US6118866A (en) 1998-08-03 2000-09-12 Geneys Telecommunications Laboratories, Inc. Emergency call load management for call centers
US6389400B1 (en) 1998-08-20 2002-05-14 Sbc Technology Resources, Inc. System and methods for intelligent routing of customer requests using customer and agent models
US6377949B1 (en) 1998-09-18 2002-04-23 Tacit Knowledge Systems, Inc. Method and apparatus for assigning a confidence level to a term within a user knowledge profile
US6614781B1 (en) 1998-11-20 2003-09-02 Level 3 Communications, Inc. Voice over data telecommunications network architecture
US6400804B1 (en) 1998-12-10 2002-06-04 At&T Corp. On-hold activity selection apparatus and method
US6707789B1 (en) 1998-12-18 2004-03-16 At&T Corp. Flexible SONET ring with integrated cross-connect system
EP1055227B1 (en) 1998-12-21 2004-09-01 Koninklijke Philips Electronics N.V. Language model based on the speech recognition history
US6798876B1 (en) * 1998-12-29 2004-09-28 At&T Corp. Method and apparatus for intelligent routing of incoming calls to representatives in a call center
US6519562B1 (en) 1999-02-25 2003-02-11 Speechworks International, Inc. Dynamic semantic control of a speech recognition system
US6744877B1 (en) 1999-03-08 2004-06-01 Avaya Technology Corp. Method and system for enterprise service balancing
US6366668B1 (en) 1999-03-11 2002-04-02 Avaya Technology Corp. Method of routing calls in an automatic call distribution network
US6600736B1 (en) * 1999-03-31 2003-07-29 Lucent Technologies Inc. Method of providing transfer capability on web-based interactive voice response services
US6631186B1 (en) 1999-04-09 2003-10-07 Sbc Technology Resources, Inc. System and method for implementing and accessing call forwarding services
US6385584B1 (en) 1999-04-30 2002-05-07 Verizon Services Corp. Providing automated voice responses with variable user prompting
US6681331B1 (en) 1999-05-11 2004-01-20 Cylant, Inc. Dynamic software system intrusion detection
US6317439B1 (en) 1999-06-03 2001-11-13 Fujitsu Network Communications, Inc. Architecture for a SONET line unit including optical transceiver, cross-connect and synchronization subsystem
JP2001053517A (en) * 1999-08-06 2001-02-23 Sony Corp Antenna system and portable radio device
US6782412B2 (en) * 1999-08-24 2004-08-24 Verizon Laboratories Inc. Systems and methods for providing unified multimedia communication services
US6700972B1 (en) 1999-08-25 2004-03-02 Verizon Corporate Services Group Inc. System and method for processing and collecting data from a call directed to a call center
US6901366B1 (en) 1999-08-26 2005-05-31 Matsushita Electric Industrial Co., Ltd. System and method for assessing TV-related information over the internet
US6694012B1 (en) 1999-08-30 2004-02-17 Lucent Technologies Inc. System and method to provide control of music on hold to the hold party
US6757306B1 (en) 1999-09-07 2004-06-29 Nortel Networks Limited Method and system for intermediate system level 2 transparency using the SONET LDCC
US6885734B1 (en) 1999-09-13 2005-04-26 Microstrategy, Incorporated System and method for the creation and automatic deployment of personalized, dynamic and interactive inbound and outbound voice services, with real-time interactive voice database queries
US6510414B1 (en) 1999-10-05 2003-01-21 Cisco Technology, Inc. Speech recognition assisted data entry system and method
AU1770601A (en) 1999-11-16 2001-05-30 Fairmarket, Inc. Network-based sales system
US20010032229A1 (en) 1999-12-07 2001-10-18 John Hulls Method and system for conducting commercial transactions by computer network
US6775359B1 (en) 1999-12-28 2004-08-10 Comverse Ltd. Voice reply to incoming e-mail messages, via e-mail
GB9930720D0 (en) 1999-12-29 2000-02-16 Ibm Call centre agent automated assistance
US20010018672A1 (en) 1999-12-30 2001-08-30 Redtagoutlet.Com, Inc. Method and apparatus for facilitating the sale of goods over the internet
JP3444486B2 (en) 2000-01-26 2003-09-08 インターナショナル・ビジネス・マシーンズ・コーポレーション Automatic voice response system and method using voice recognition means
US6744861B1 (en) 2000-02-07 2004-06-01 Verizon Services Corp. Voice dialing methods and apparatus implemented using AIN techniques
FR2805064B1 (en) 2000-02-14 2003-01-24 France Telecom SYSTEM FOR MANAGING A PRODUCT SALES CHAIN
US7107232B2 (en) 2000-02-16 2006-09-12 Morris Robert A Method and system for facilitating a sale
US6587556B1 (en) 2000-02-25 2003-07-01 Teltronics, Inc. Skills based routing method and system for call center
US6603854B1 (en) 2000-02-25 2003-08-05 Teltronics, Inc. System and method for evaluating agents in call center
US20030165223A1 (en) 2000-03-07 2003-09-04 Timmins Timothy A. Technique for providing a telecommunication service including information assistance
US20040006473A1 (en) * 2002-07-02 2004-01-08 Sbc Technology Resources, Inc. Method and system for automated categorization of statements
US6778643B1 (en) 2000-03-21 2004-08-17 Sbc Technology Resources, Inc. Interface and method of designing an interface
US6442247B1 (en) 2000-03-29 2002-08-27 Genesys Telecommunications Laboratories, Inc. Method and apparatus for recording and automated playback of personal agent greetings in a communication-center environment
US6956941B1 (en) 2000-04-12 2005-10-18 Austin Logistics Incorporated Method and system for scheduling inbound inquiries
US20020059169A1 (en) * 2000-04-19 2002-05-16 Quarterman John S. System for quickly collecting operational data for internet destinations
US20020046030A1 (en) * 2000-05-18 2002-04-18 Haritsa Jayant Ramaswamy Method and apparatus for improved call handling and service based on caller's demographic information
US6414966B1 (en) 2000-06-15 2002-07-02 Oss Corporation Bridging device for mapping/demapping ethernet packet data directly onto and from a sonet network
GB0015357D0 (en) 2000-06-23 2000-08-16 Netcall Plc Callback telecommunication system and method
US6598021B1 (en) * 2000-07-13 2003-07-22 Craig R. Shambaugh Method of modifying speech to provide a user selectable dialect
US6831932B1 (en) 2000-07-14 2004-12-14 Level 3 Communications, Inc. Transfer of SONET traffic over a packet-switched network
US7092370B2 (en) * 2000-08-17 2006-08-15 Roamware, Inc. Method and system for wireless voice channel/data channel integration
US6766320B1 (en) 2000-08-24 2004-07-20 Microsoft Corporation Search engine with natural language-based robust parsing for user query and relevance feedback learning
US20020067714A1 (en) * 2000-09-28 2002-06-06 Crain Louis M. System and method for wide area network and telco infrastructure integration
US20020087385A1 (en) 2000-12-28 2002-07-04 Vincent Perry G. System and method for suggesting interaction strategies to a customer service representative
US6964023B2 (en) 2001-02-05 2005-11-08 International Business Machines Corporation System and method for multi-modal focus detection, referential ambiguity resolution and mood classification using multi-modal input
US6546087B2 (en) 2001-02-16 2003-04-08 Siemens Information & Communication Networks, Inc. Method and system for enabling queue camp-on for skills-based routing
US20020133413A1 (en) 2001-03-07 2002-09-19 Chang Matthew S. System and method for purchasing an item displayed on a display device
US6907119B2 (en) 2001-03-08 2005-06-14 Qwest Communications International, Inc. Automated business directory assistance
US6751306B2 (en) 2001-04-05 2004-06-15 International Business Machines Corporation Local on-hold information service with user-controlled personalized menu
US20020156699A1 (en) 2001-04-20 2002-10-24 Joseph Gray System of upselling in a computer network environment
US6895083B1 (en) 2001-05-02 2005-05-17 Verizon Corporate Services Group Inc. System and method for maximum benefit routing
US20020165732A1 (en) 2001-05-02 2002-11-07 Matchmd, Llc System and method for automated and interactive scheduling
US6731722B2 (en) 2001-06-13 2004-05-04 Callfx.Com Automated transaction processing system
US6879683B1 (en) 2001-06-28 2005-04-12 Bellsouth Intellectual Property Corp. System and method for providing a call back option for callers to a call center
US7031444B2 (en) 2001-06-29 2006-04-18 Voicegenie Technologies, Inc. Computer-implemented voice markup system and method
US20030035381A1 (en) * 2001-08-16 2003-02-20 Yihsiu Chen Network-based teleconferencing capabilities utilizing data network call set-up requests
US7095827B2 (en) * 2001-08-20 2006-08-22 Nms Communications Corporation Broadcasting and conferencing in a distributed environment
US6738473B1 (en) 2001-10-19 2004-05-18 At&T Corp. Call queuing
US20030097428A1 (en) * 2001-10-26 2003-05-22 Kambiz Afkhami Internet server appliance platform with flexible integrated suite of server resources and content delivery capabilities supporting continuous data flow demands and bursty demands
US7095842B2 (en) * 2001-12-03 2006-08-22 International Business Machines Corporation Enabling caller controlled hold queue position adjustment
US7130411B2 (en) * 2001-12-03 2006-10-31 International Business Machines Corporation Hold queue position publication
US6891932B2 (en) 2001-12-11 2005-05-10 Cisco Technology, Inc. System and methodology for voice activated access to multiple data sources and voice repositories in a single session
US6915246B2 (en) 2001-12-17 2005-07-05 International Business Machines Corporation Employing speech recognition and capturing customer speech to improve customer service
US7013112B2 (en) * 2001-12-18 2006-03-14 Ixi Mobile (Israel) Ltd. Method, system and computer readable medium for making a business decision in response to information from a short distance wireless network
US20030130864A1 (en) 2002-01-09 2003-07-10 Ho Edwin Kong-Sun Facilitation of mobile direct response by service callback
US6925155B2 (en) * 2002-01-18 2005-08-02 Sbc Properties, L.P. Method and system for routing calls based on a language preference
US7305070B2 (en) 2002-01-30 2007-12-04 At&T Labs, Inc. Sequential presentation of long instructions in an interactive voice response system
US20030144846A1 (en) 2002-01-31 2003-07-31 Denenberg Lawrence A. Method and system for modifying the behavior of an application based upon the application's grammar
WO2003069874A2 (en) * 2002-02-11 2003-08-21 Unified Dispatch, Inc. Automated transportation call-taking system
US6999755B2 (en) * 2002-03-12 2006-02-14 Welgate Corp. Method and device for providing information of unfinished call
US20030187732A1 (en) 2002-03-29 2003-10-02 Seta Joseph D. Method and system for presenting a sales incentive
US20030187773A1 (en) 2002-04-02 2003-10-02 Santos Cipriano A. Virtual marketplace agent technology
US20030195753A1 (en) 2002-04-10 2003-10-16 Homuth Brandon Gabriel Systems and methods for providing priority customer service
US6792096B2 (en) * 2002-04-11 2004-09-14 Sbc Technology Resources, Inc. Directory assistance dialog with configuration switches to switch from automated speech recognition to operator-assisted dialog
US6853722B2 (en) * 2002-04-29 2005-02-08 Sbc Technology Resources, Inc. System and method for automating customer slamming and cramming complaints
US20030204435A1 (en) 2002-04-30 2003-10-30 Sbc Technology Resources, Inc. Direct collection of customer intentions for designing customer service center interface
US6697460B2 (en) 2002-04-30 2004-02-24 Sbc Technology Resources, Inc. Adaptive voice recognition menu method and system
JP3899290B2 (en) 2002-06-10 2007-03-28 富士通株式会社 Sender identification method, program, apparatus and recording medium
US6807274B2 (en) * 2002-07-05 2004-10-19 Sbc Technology Resources, Inc. Call routing from manual to automated dialog of interactive voice response system
AU2003263957A1 (en) 2002-08-16 2004-03-03 Nuasis Corporation Contact center architecture
US7131117B2 (en) * 2002-09-04 2006-10-31 Sbc Properties, L.P. Method and system for automating the analysis of word frequencies
US20040073569A1 (en) * 2002-09-27 2004-04-15 Sbc Properties, L.P. System and method for integrating a personal adaptive agent
US7249321B2 (en) * 2002-10-03 2007-07-24 At&T Knowlege Ventures, L.P. System and method for selection of a voice user interface dialogue
US7080323B2 (en) * 2002-10-03 2006-07-18 Sbc Properties, L.P. Dynamic and adaptable system and method for selecting a user interface dialogue model
US20040083479A1 (en) * 2002-10-23 2004-04-29 Oleg Bondarenko Method for organizing multiple versions of XML for use in a contact center environment
US6714631B1 (en) 2002-10-31 2004-03-30 Sbc Properties, L.P. Method and system for an automated departure strategy
US7146383B2 (en) * 2002-10-31 2006-12-05 Sbc Properties, L.P. Method and system for an automated disambiguation
US7698163B2 (en) 2002-11-22 2010-04-13 Accenture Global Services Gmbh Multi-dimensional segmentation for use in a customer interaction
US7707059B2 (en) * 2002-11-22 2010-04-27 Accenture Global Services Gmbh Adaptive marketing using insight driven customer interaction
US7545925B2 (en) * 2002-12-06 2009-06-09 At&T Intellectual Property I, L.P. Method and system for improved routing of repair calls to a call center
US7376228B2 (en) 2002-12-18 2008-05-20 Castel, Inc. Call center management systems
US7184534B2 (en) * 2002-12-19 2007-02-27 International Business Machines Corporation Using a telephony application server for call control with a voice server
US7573999B2 (en) 2002-12-31 2009-08-11 At&T Intellectual Property I, L.P. Computer telephony integration (CTI) complete healthcare contact center
US7356139B2 (en) 2002-12-31 2008-04-08 At&T Delaware Intellectual Property, Inc. Computer telephony integration (CTI) complete hospitality contact center
US7620170B2 (en) 2002-12-31 2009-11-17 At&T Intellectual Property I, L.P. Computer telephony integration (CTI) complete customer contact center
US6847711B2 (en) * 2003-02-13 2005-01-25 Sbc Properties, L.P. Method for evaluating customer call center system designs
US7418095B2 (en) * 2003-03-06 2008-08-26 At&T Knowledge Ventures, L.P. System and method for providing caller activities while in queue
US7877265B2 (en) 2003-05-13 2011-01-25 At&T Intellectual Property I, L.P. System and method for automated customer feedback
US7174011B2 (en) * 2003-07-11 2007-02-06 At & T Knowledge Ventures Lp Telephone call center with method for providing customer with wait time updates
US7142652B2 (en) * 2003-07-25 2006-11-28 Agilent Technologies, Inc. Apparatus and method to identify potential work-at-home callers
US20050055216A1 (en) * 2003-09-04 2005-03-10 Sbc Knowledge Ventures, L.P. System and method for the automated collection of data for grammar creation
US20050141692A1 (en) 2003-10-01 2005-06-30 Mark Scherer Computer-telephony integration (CTI) system for controlling an automatic call distribution system using a bidirectional CTI model
US20050075894A1 (en) * 2003-10-03 2005-04-07 Sbc Knowledge Ventures, L.P. System, method & software for a user responsive call center customer service delivery solution
US20050080667A1 (en) * 2003-10-08 2005-04-14 Sbc Knowledge Ventures, L.P. System and method for automated customized content delivery for web sites
US7383170B2 (en) * 2003-10-10 2008-06-03 At&T Knowledge Ventures, L.P. System and method for analyzing automatic speech recognition performance data
US20050131892A1 (en) 2003-12-10 2005-06-16 Sbc Knowledge Ventures, L.P. Natural language web site interface
US7415101B2 (en) 2003-12-15 2008-08-19 At&T Knowledge Ventures, L.P. System, method and software for a speech-enabled call routing application using an action-object matrix
US7027586B2 (en) 2003-12-18 2006-04-11 Sbc Knowledge Ventures, L.P. Intelligently routing customer communications
US7356475B2 (en) 2004-01-05 2008-04-08 Sbc Knowledge Ventures, L.P. System and method for providing access to an interactive service offering
US7512545B2 (en) 2004-01-29 2009-03-31 At&T Intellectual Property I, L.P. Method, software and system for developing interactive call center agent personas
US7349527B2 (en) 2004-01-30 2008-03-25 Hewlett-Packard Development Company, L.P. System and method for extracting demographic information
US20050201547A1 (en) 2004-03-10 2005-09-15 Burg Frederick M. Call queuing
US7398212B2 (en) 2004-04-22 2008-07-08 Hewlett-Packard Development Company, L.P. System and method for quality of service management with a call handling system
US7936861B2 (en) 2004-07-23 2011-05-03 At&T Intellectual Property I, L.P. Announcement system and method of use
US8165281B2 (en) 2004-07-28 2012-04-24 At&T Intellectual Property I, L.P. Method and system for mapping caller information to call center agent transactions
US20060026049A1 (en) 2004-07-28 2006-02-02 Sbc Knowledge Ventures, L.P. Method for identifying and prioritizing customer care automation
US7580837B2 (en) 2004-08-12 2009-08-25 At&T Intellectual Property I, L.P. System and method for targeted tuning module of a speech recognition system
US7602898B2 (en) 2004-08-18 2009-10-13 At&T Intellectual Property I, L.P. System and method for providing computer assisted user support
US20060050865A1 (en) 2004-09-07 2006-03-09 Sbc Knowledge Ventures, Lp System and method for adapting the level of instructional detail provided through a user interface
US20060062375A1 (en) 2004-09-23 2006-03-23 Sbc Knowledge Ventures, L.P. System and method for providing product offers at a call center
US7197130B2 (en) * 2004-10-05 2007-03-27 Sbc Knowledge Ventures, L.P. Dynamic load balancing between multiple locations with different telephony system
US7668889B2 (en) 2004-10-27 2010-02-23 At&T Intellectual Property I, Lp Method and system to combine keyword and natural language search results
US7657005B2 (en) 2004-11-02 2010-02-02 At&T Intellectual Property I, L.P. System and method for identifying telephone callers
US20060109974A1 (en) 2004-11-23 2006-05-25 Sbc Knowledge Ventures, L.P. System and method for IVR transfer of an inbound call
US7724889B2 (en) 2004-11-29 2010-05-25 At&T Intellectual Property I, L.P. System and method for utilizing confidence levels in automated call routing
US7864942B2 (en) 2004-12-06 2011-01-04 At&T Intellectual Property I, L.P. System and method for routing calls
US7242751B2 (en) 2004-12-06 2007-07-10 Sbc Knowledge Ventures, L.P. System and method for speech recognition-enabled automatic call routing
US20060126811A1 (en) 2004-12-13 2006-06-15 Sbc Knowledge Ventures, L.P. System and method for routing calls
US20060126808A1 (en) 2004-12-13 2006-06-15 Sbc Knowledge Ventures, L.P. System and method for measurement of call deflection
US7751551B2 (en) 2005-01-10 2010-07-06 At&T Intellectual Property I, L.P. System and method for speech-enabled call routing
US7627096B2 (en) 2005-01-14 2009-12-01 At&T Intellectual Property I, L.P. System and method for independently recognizing and selecting actions and objects in a speech recognition system
US7450698B2 (en) 2005-01-14 2008-11-11 At&T Intellectual Property 1, L.P. System and method of utilizing a hybrid semantic model for speech recognition
US7627109B2 (en) 2005-02-04 2009-12-01 At&T Intellectual Property I, Lp Call center system for multiple transaction selections
US20060188087A1 (en) 2005-02-18 2006-08-24 Sbc Knowledge Ventures, Lp System and method for caller-controlled music on-hold
US8130936B2 (en) 2005-03-03 2012-03-06 At&T Intellectual Property I, L.P. System and method for on hold caller-controlled activities and entertainment
US8223954B2 (en) 2005-03-22 2012-07-17 At&T Intellectual Property I, L.P. System and method for automating customer relations in a communications environment
US7933399B2 (en) 2005-03-22 2011-04-26 At&T Intellectual Property I, L.P. System and method for utilizing virtual agents in an interactive voice response application
US7636432B2 (en) 2005-05-13 2009-12-22 At&T Intellectual Property I, L.P. System and method of determining call treatment of repeat calls
US7657020B2 (en) 2005-06-03 2010-02-02 At&T Intellectual Property I, Lp Call routing system and method of using the same
US8005204B2 (en) 2005-06-03 2011-08-23 At&T Intellectual Property I, L.P. Call routing system and method of using the same
US8503641B2 (en) 2005-07-01 2013-08-06 At&T Intellectual Property I, L.P. System and method of automated order status retrieval
US8175253B2 (en) 2005-07-07 2012-05-08 At&T Intellectual Property I, L.P. System and method for automated performance monitoring for a call servicing system
US7783029B2 (en) 2005-08-10 2010-08-24 At&T Intellectual Property I, L.P. System and method of managing calls to a customer service call center
US8526577B2 (en) 2005-08-25 2013-09-03 At&T Intellectual Property I, L.P. System and method to access content from a speech-enabled automated system
US8548157B2 (en) 2005-08-29 2013-10-01 At&T Intellectual Property I, L.P. System and method of managing incoming telephone calls at a call center
US8577014B2 (en) 2005-11-04 2013-11-05 At&T Intellectual Property I, L.P. System and method of managing calls at a call center

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6553113B1 (en) * 1999-07-09 2003-04-22 First Usa Bank, Na System and methods for call decisioning in a virtual call center integrating telephony with computers
US20030026409A1 (en) * 2001-07-31 2003-02-06 Sbc Technology Resources, Inc. Telephone call processing in an interactive voice response call management system
US20030235287A1 (en) * 2002-06-24 2003-12-25 Michael Margolis Virtual interaction queuing using internet protocols

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US7460652B2 (en) 2008-12-02
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US20090028302A1 (en) 2009-01-29
US20050069102A1 (en) 2005-03-31

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