Abstract:
A system, method and software for delivering targeted queue-time content are provided. In response to user selection of a transaction or information from a call center, content matched between the selected transaction and one or more items of information concerning the user are preferably compiled. During the period in which the user awaits service in a queue associated with a transaction agent or service module for the selected transaction, the matched data relating user specific information to the selected transaction is presented for user consumption and/or selection therefrom. The selection of an alternate transaction from within one queue may be enhanced by a repetition of the matching of user specific information with one or more aspects of the alternate transaction selection being compiled and presented to the user during a subsequent queued period associated with the alternate transaction selection.
Abstract:
A system for managing recognition errors in a multiple dialog state environment incorporates an error management module. The error management module includes error counters and error set points associated with the system globally as well as associated with specific dialog states. User interaction within the system may then be managed based upon the status of the error counters in relation to the error set points.
Abstract:
A method, software and system of developing personalities for interactive and/or automated call center applications are provided. According to teachings of the present invention, sample population questionnaires and interviews may be used to identify key personality traits. The impact of the identified key personality traits are then empirically determined. Based on the empirical determination of the key personality traits' impact on customer satisfaction, a plurality of personality profiles may be generated for evaluation. A plurality of application types and voice talents may then be employed to evaluate the impact of each personality profile on customer satisfaction, for different user populations and different types of automated systems. The personality traits for each automated system are preferably rated and reviewed to ensure a system accurately represents the identified key personality traits. The various voice talents may also be evaluated to identify those traits best at conveying a desired personality.
Abstract:
A method for intelligently routing customer communications to an agent includes receiving a customer's request to initiate communications. A modality of the requested communications is identified and a profile of the customer is obtained. An agent model is generated for each modality supported by each agent. An agent model is selected from a set of agent models for each of a set of agents, based upon the identified modality. The profile of the customer is compared with the selected model for each of the set of agents to determine a best match. A communications connection is established between the customer and the best matched agent.
Abstract:
A method and system for automating customer slamming and cramming complaints includes an automated reporting system having one or more receiving devices and a complaint module. Customers who want to report a slam or cram access the automated reporting system and report the complaint without having to speak with a customer service representative. The complaint module obtains the customer telephone number and retrieves customer account information using the customer telephone number. Using the customer account information, the complaint module extrapolates a type of complaint for the customer complaint and prompts the customer for information regarding the customer complaint and the type of the complaint. The customer provides customer responses to the prompts and the complaint module provides an indication to the customer regarding each customer response. Once the customer complaint has been resolved, the complaint module stores information regarding the slam or cram for reporting requirements and tracking purposes.
Abstract:
A system and method for automatically collecting data for grammar creation includes one or more receiving devices, a collection module, a speech recognition engine, and a routing module. The receiving device receives a plurality of inbound inquiries from customers while the collection module queries the customers for an opening statement including a customer task. The speech recognition engine recognizes the speech of the customers in the opening statements and analyzes the one or more recognized words in the speech of the customer. The routing module identifies the customer task from the recognized speech of the opening statement, determines the correct routing destination for the inbound inquiry based on the analysis of the recognized words, and automatically routes the inbound inquiry to the correct routing destination. The system and method further includes a tuning module that creates and modifies grammars that enable more accurate speech recognition.
Abstract:
A method of evaluating a design for a call center system. A particular system is put into use and data collected to quantify various quality of service factors. Each quality of service factor is multiplied times an expense multiplier and added to an agent cost factor. The result is a metric that describes the system in monetary terms.
Abstract:
A method for processing a call is disclosed. The method receives a speech input in connection with a call and transforms at least a segment of the speech input into a first textual format. The method also generates a first list of entries based, at least partially, on a consideration of the first textual format, the first list comprising at least one action with a corresponding confidence level and at least one object with another corresponding confidence level, selects an entry of the first list having a higher corresponding confidence level, outputs a second textual format. The method further generates a second list based, at least partially on consideration of the selected entry and the second textual format and suggesting a routing option for the call based on the selected entry and a pairing entry in the second list having a high corresponding confidence level.