State Farm Mutual Automobile Insurance Company

Amit Gupta

Aaron C Kammeyer

Chad Skinner

Scott D Dies

Jason Potts

Rachel Duffield

Kristina Seymour

Christine Johnson

Angela Opoku-Agyemang

Chad A Greer

Sujitha Thekkin Kattil Sankaran

Ritesh Saraf

Techniques described herein relate to a client application framework for a contact center environment. A role-specific thick client framework may include a web browser-based, desktop application having multiple processes that can be distributed across the computing infrastructure of the client device. A portion of the framework may include a container application image received from an internal server of the contact center and launched by the client device. The desktop application may collect data associated with use of the container application image and transmit the collected data to a contact center server. The contact center server may process the data, in some instances along with data from additional desktop applications on additional client devices, to implement one or more integrated models across the contact center environment.

Representative client devices in a contact center environment

Various techniques described herein relate to a client application framework for a contact center environment. A role-specific thick client framework may include a web browser-based application having multiple processes that can be distributed across the computing infrastructure of the client device. A portion of the framework may include a container application image received from an internal server of the contact center and launched by the client device. The framework also may include queuing and communication services executing on the client device, which interface with the internal client application and external service providers to support a common queuing framework and an integrated model implementation across the contact center environment.

Thick client and common queuing framework for contact center environment

Various techniques described herein relate to building and using representative data systems to store and manage representative profile data within contact centers. A representative data system integrates with external communication services and other internal/external systems to provide a uniform data store and interface to create and manage representative profiles. The representative data system retrieves and analyzes representative profile data during runtime contact center operations such as contact queuing, contact management, and/or workforce management. The representative data system may be implemented using relational or graph-based data structures to support advanced predictive modeling and impact analysis of scenarios such as service outages, dynamic workload shifting, infrastructure changes, and workforce changes.

Integrated representative profile data in contact center environment

Techniques described herein relate to inter-channel transfer at an automated contact center, in order to transfer communication sessions from a first channel to a second channel. In addition to channel transfer operations, communication session context data can be transferred from the first channel to the second channel and a communication session summary can be generated and provided to second channel devices. Furthermore, a communication session can be loaded in a second channel queue based on the communication session via the first channel.

Inter-channel context transfer intermediary

A customer relationship management (CRM) platform may use data objects to store data associated with a virtual meeting. The CRM platform may store information about a virtual meeting in a meeting object, and store information about meeting participants in participant objects linked to the meeting object. The CRM platform may also store meeting information, returned from a separate virtual meeting platform that will host the virtual meeting, in the meeting object and the participant objects. Accordingly, the CRM platform can use the meeting object and participant objects to display meeting information in a user interface, allow users to edit meeting details via the CRM platform, and/or allow users to join the virtual meeting via the CRM platform without separately logging in to the virtual meeting platform.

Virtual meeting integration with customer relationship management platform

Techniques described herein relate to message distribution in a contact center. Messages generated by an administrator and/or by a trained model processing data from customer interactions with the contact center are stored in a message queue. A desktop application running on a representative device and hosted by the contact center queries the message queue for messages intended for a representative using the representative device. Messages intended for the representative are automatically displayed on the representative device, e.g., on the desktop.

Contact center messaging

Techniques described herein relate to representative monitoring in a contact center environment. Data associated with a customer interaction, including content of the interaction and video of a representative display during processing associated with the interaction, are presented to an administrator in real time or near real time for monitoring during an interaction. In some examples, a contact center server may receive an event notification when a live contact begins, and may generate data files associated with the live contact to allow the administrator to monitor the contact. In some instances, the contact center server may continue to generate data after conclusion of the live contact, to allow the administrator to monitor and guide post-contact processing performed by the representative. The contact center server also may allow administrators to select live contacts for monitoring and/or receive alerts when pre-selected representatives commence live contacts that can be monitored.

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Normal, IL, United States of America

Amit Gupta