Disclosed is a precision queuing (PQ) system that automatically and dynamically revises the values of precision queue step rules (PQSRs) with customizable thresholds based on current contact center conditions such as varying hours of operation and number of agents available.

The invention relates to systems/methods that enable real-time monitoring/processing of contact center communications to provide timely, actionable analytic insights and real-time critical call alerts, while simultaneously providing best-in-class protection of sensitive customer information.

Method, system and program product, for operating a call center system, the method comprising: obtaining performance data for agents in a set of agents; obtaining a respective abstracted data stream for multiple calls, each respective data stream having multiple different locations along the abstracted data stream representing multiple different respective fields, the meaning for the field data in the respective different locations for the different respective fields not known by the system; determining respective patterns for the respective data streams; obtaining performance data for the respective patterns; matching using a selected matching algorithm one of the agents from the set of agents to one of the calls based at least in part on the performance data for the respective pattern of the call and on performance data for the respective agents of the set of agents.

Method, system and program product, for operating a call center system, the method comprising: obtaining performance data for agents in a set of agents; obtaining a respective abstracted data stream for multiple calls, each respective data stream having multiple different locations along the abstracted data stream representing multiple different respective fields, the meaning for the field data in the respective different locations for the different respective fields not known by the system; determining respective patterns for the respective data streams; obtaining performance data for the respective patterns; matching using a selected matching algorithm one of the agents from the set of agents to one of the calls based at least in part on the performance data for the respective pattern of the call and on performance data for the respective agents of the set of agents.

Systems and methods of managing customer journeys are implemented using one or more processors in a computing system. Each journey may comprise a succession of interactions at interaction points such as telephone conversations, responses to an interactive voice response “IVR” system and viewing a web page. Customer journey scores are determined for customers at one or more interaction points along the customer journey and the customer journey score is used to determine whether and when an intervention should take place. Models for determining customer journey scores may be created for a set of customers based on one or both of subjective and objective data relating to a subset of the set of customers that have made some or part of the journey, e.g. customers that have responded to polls. An intervention may take place during the journey or after completion of the journey.

Embodiments provide a method for providing a call center supplemental workflow tool, including: receiving from a database a workflow decisional matrix, a plurality of questions, and a plurality of scripts; displaying a web-based graphical user interface on a display providing at least one question or one script; receiving user input; determining, at least another question or at least another script, to be displayed, wherein determining is based upon the user input and the decisional matrix and advances the workflow; based upon the decisional matrix, determining that the workflow has been completed; providing an output of the questions displayed and the user input received; and the output being provided to a primary software application. Other aspects are described and claimed.

A system for transitioning a telephony or in-person servicing to an artificial intelligence (AI) chat session is disclosed. The system may receive a phone call from a user device associated with a user, and transmit a voice request for personally identifiable information associated with the user. The system may also receive and authenticate the requested personally identifiable information and, in response, generate an authentication token. The system may further receive a servicing intent from the user device, and generate a corresponding servicing intent token. Also, the system may generate an API call to an AI chatbot model, transmit the authentication token and the servicing intent token to the AI chatbot model, and map the servicing intent token to a stored servicing intent. Finally, the system may transmit a message to the user device via the AI chat session.

System, method, and various embodiments for providing a digital on-duty assistant are described herein. An embodiment operates by receiving a support request from a customer over a communication channel. A channel type corresponding to the communication channel over which the support request was received is identified. Which of a plurality of support specialists is assigned to service the support request over the channel type is identified. Contact information, corresponding to the channel type, for the identified support specialist is determined. The support request is forwarded to the identified support specialist based on the contact information corresponding to the channel type of the communication channel.

Methods and systems for routing calls based on a minimum expected delay, classification, and priority of the call are provided. In some embodiments, when a call is received, the call is classified and prioritized within the classification. A minimum expected delay time is determined. Based on the minimum expected delay time, the classification, and the prioritization, the call is routed to a representative with instructions on how the call should be treated.

An information providing method includes acquiring speech information indicating what a user tells an operator through a call, generating voice recognition data indicating a voice recognition result of the speech information by performing a voice recognition process on the acquired speech information, extracting first information on a desire of the user from the generated voice recognition data, acquiring second information associated with the first extracted information, and presenting the second acquired information to a terminal device that is used by the operator.