Genesys Telecommunications Laboratories, Inc.

Other

Greeneden U.S. Holdings Ii, LLC

Genesys Cloud Services Holdings Ii, LLC

Greeneden U.S. Holding Ii, LLC

Vidas Placiakis

Herbert Willi Artur Ristock

Nikolay I Korolev

Yevgeniy Petrovykh

Vitaliy Teryoshin

Herbert Ristock

Merijn Te Booij

Anand Pai Krishnanand Nitin

Alex Petrov

Vadim Dymshyts

Herbert Willi Ristock

Vyacheslav I Zhakov

Leonid Leon Vymenets

David Beilis

Aaron S Surty

Michael Davies

Thomas Tritten, Ii

Michele Fisher

Vytautas Staraitis

Vytautas Saulis

Gintautas Budvytis

Laura Stevens

Anand Pai Nitin

Leonid Vymenets

Adrian Lee-Kwen

Aaron Surty

An apparatus is provided and includes a processor and a memory, the memory storing instructions that when executed from a non-transitory physical medium by the processor cause the processor to detect when a request for interaction that is configured for a scheduled processing is received or otherwise registered at a service access point associated with a contact center, identify schedule data from the request and add the schedule data along with a request identification and a location identifier to a scheduling and reporting application, consult a contact center interaction routing system in response to determining that the scheduled interaction request is to be processed, and route or cause processing of the interaction request based on the schedule data. According to one embodiment, the schedule data includes a scheduled time and date for processing the request.

Interaction request processing according to client pre-configured schedule

Systems and methods are shown for routing task objects to multiple agents that involve analyzing content of each task object in an input buffer to determine a classification relevant to the content of the task object that is added to task object metadata, which is placed in a second buffer. Objects in the second buffer are analyzed and the classification in the object metadata used to search workforce management data representing agent characteristics to identify agents who match the classification. A routing strategy is applied to the object to select an agent and the object is routed to the agent's workbin. Another aspect involves organizing workbin tasks objects by priority, according to recent system conditions excluding objects that cannot presently be processed based on a workflow strategy or status data, and presenting remaining objects based on order of priority, or re-arranging objects between workbins based on recent status info.

System and method for intelligent task management and routing

A system and method for setting agent cross skill enablement levels in a contact center. In one embodiment, a series of simulations is performed to determine optimum cross skill enablement levels for various circumstances, e.g., the number of agents, the proficiency of each agent at each of a number of skills, and the rates of incoming interaction requests requiring each of various skills. A lookup table is created which is subsequently used, during configuration of the contact center prior to operation, or in real time during operation, to adjust agent cross skill enablement levels.

Activities assignment optimization for multi-skill contact center

A system and method for forecasting shrinkage of employees is provided. According to one embodiment, scheduled shrinkage values are identified from a work schedule and stored in a data file. A command is received by a processor to predict shrinkage of employees for a future forecast period. Selection of the data file is received, and in response, the processor is configured to automatically populate shrinkage fields for the forecast period with the scheduled shrinkage values retrieved from the data file. According to one embodiment, the scheduled shrinkage values are set as the shrinkage values that are forecast for the forecast period. A work schedule of employees is the generated for the forecast period taking into account the forecast shrinkage values. According to one embodiment, the processor may also engage of automatic shrinkage forecasting based on analysis of historic shrinkage data.

System and method for automatic shrinkage forecasting

A contact center has channels for receiving communications requesting interaction with an agent, agent stations providing connection ability to received communications, and a Virtual Interaction (VI) Server connected to the LAN and executing VI software on a processor from a non-transitory medium. The VI Server creates and stores a Virtual Interaction object based on determination of an expected receipt of a future communication, the VI associating a source, an intent, a set of data regarding the source, and an agent station destination, and the created VI is stored and matched with a real incoming communication from the source associated in the VI, and the VI is then instantiated as a live interaction by connecting the source of the incoming call with the agent destination associated in the VI.

Virtual interactions in contact center operations

A system and method for monitoring and visualizing contact center performance via a graphical user interface. A processor identifies a plurality of contact center metrics, identifies predicted values for the plurality of contact center metrics, and displays a reference geometric object having a plurality of vertices representing the predicted values for the plurality of contact center metrics. The processor also determines actual values for the plurality of contact center metrics and overlays over the display of the reference geometric object, a display of a current geometric object. The current geometric object has a plurality of vertices representing the actual values for the plurality of contact center metrics. Deviation of the current geometric object from the reference geometric object is an indication of deviation of one or more actual values from the predicted values.

Graphical user interface with contact center performance visualizer

Systems and methods are shown for routing task objects to multiple agents that involve analyzing content of each task object in an input buffer to determine a classification relevant to the content of the task object that is added to task object metadata, which is placed in a second buffer. Objects in the second buffer are analyzed and the classification in the object metadata used to search workforce management data representing agent characteristics to identify agents who match the classification. A routing strategy is applied to the object to select an agent and the object is routed to the agent's workbin. Another aspect involves organizing workbin tasks objects by priority, according to recent system conditions excluding objects that cannot presently be processed based on a workflow strategy or status data and presenting remaining objects based on order of priority, or re-arranging objects between workbins based on recent status info.

Systems and methods are shown for organizing workbin tasks objects by priority, according to recent system conditions excluding objects that cannot presently be processed based on a workflow strategy or status data, and presenting remaining objects to an agent based on order of priority or workflow strategy.

System and method for intelligent task management in a workbin

Growing community of inventors

Walnut Creek, CA, United States of America

Vidas Placiakis