Genesys Telecommunications Laboratories, Inc.

Other

Merijn Te Booij

Herbert Willi Artur Ristock

Kentis Gopalla

Vladimir Mezhibovsky

Nikolay I Korolev

Herbert Ristock

Vitaliy Teryoshin

Vidas Placiakis

Christopher Connolly

Herbert W A Ristock

Akbar Riahi

Matthew J Surridge

Cameron David Smith

Gregory J Hedges

John H Keyes

Juergen Tolksdorf

Charlotte Toerck

Robert Kassel

Andrew T C Verrall

David Beilis

Adrian Lee-Kwen

William Edward James

Anton Brazhnyk

Ernesto Garcia Garcia

Sonja Hoffman Hemelrijk

Vladislav Baranovsky

James Kraeutler

Gregory Jacob Duclos

Dave H Anderson

Liyuan Qiao

Andrew Tc Verrall

Systems and methods are shown for routing task objects to multiple agents that involve receiving and storing real-time sensor data for multiple agents, receiving tasks and, for each task, create a task object representing the task and placing the task object in an input buffer. For each task object in the input buffer, utilize the real-time sensor data to identify one or more of the multiple agents as suitable for assignment to the task, apply a routing strategy to the task object to further select one of the multiple agents identified as suitable for assignment of the task object based on sensor data, and route the task object from the input buffer to a workbin corresponding to the selected agent.

System and method for intelligent task management and routing based on physiological sensor input data

A system and method for managing interactions of a customer contact center. A contact center processor receives a request to reserve a contact center resource for handling an interaction. The processor also receives data about the interaction. The processor identifies a routing point for routing the interaction based on the received data. The routing point is associated with routing logic controlled by a customer instead of the contact center. The processor routes the interaction to the identified routing point for giving the customer control of the routing of the interaction.

Customer controlled interaction management

A method for managing customer interactions includes: receiving first proximity information relating to a proximity between an electronic communication device carried by a customer and a first proximity device located in a first location of a physical establishment associated with a customer contact center; creating an interaction object including data corresponding to the first proximity information; receiving, by the processor, second proximity information relating to a proximity between the electronic communication device and a second proximity device located in a second location; modifying the interaction object to include data corresponding to the second proximity information; storing the interaction object in a first data storage device, wherein data of contact center interactions between the customer and resources of the customer contact center is also stored; and retrieving the stored data of the interaction object and the data of contact center interactions for generating an output based on the retrieved data.

System and method for managing customer interactions

A method for automatically generating a grouping of resources of a customer contact center includes: identifying, by a processor, one or more resource groups, each of the resource groups including a plurality of customer contact center resources; predicting, by the processor, for each of the one or more resource groups, a predicted performance metric of the resource group in accordance with the one or more customer contact center resources of the resource group; identifying, by the processor, a particular resource group of the one or more resource groups having a corresponding predicted performance satisfying a threshold performance among the one or more resource groups; and outputting, by the processor, the particular resource group.

System and method for optimizing contact center resource groups

A method includes: identifying, by a processor, one or more physical arrangements of resources in a customer contact center; predicting, by the processor, for each of the one or more physical arrangements of resources, a predicted performance metric of the physical arrangement of resources in accordance with one or more working environment parameters of the customer contact center; identifying, by the processor, a particular physical arrangement of the one or more physical arrangements having a corresponding predicted performance metric satisfying a threshold performance among the one or more physical arrangements; and outputting, by the processor, the particular physical arrangement of resources in the customer contact center.

System and method for optimizing physical placement of contact center agents on a contact center floor

A system and method for managing a customer's experience with a contact center that takes available data about the customer, the agents of the contact center, and the organization represented by the contact center, for identifying opportunities for additional conversations/interactions with the customer and engaging in those additional conversations/interactions at a time and with a resource predicted to maximize outcomes for the organization. A processor is configured to identify express and/or implied intents for an interaction between the customer and the contact center. A business goal related to the express and/or implied intents is also identified for determining a current performance of the contact center and for identifying any performance gaps. Contact center targets are identified based on their performance in handling the express and/or implied intents, and the identified performance gaps. An available one of the identified targets is then selected for routing the interaction to the target.

System and method for customer experience management

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 processing interaction requests includes a computer system that receives over a data channel from an end user device accessible to the customer, a request for an interaction. The request includes data from an application running on the end user device. The data is stored by the computer system upon receipt. When a voice call from a telephony device accessible to the customer is received, a voice media session is established with the telephony device over a voice channel. The data is identified based on information associated with the voice call. A contact center resource is further identified for routing the voice call. The data is attached to a request to route the call to the identified contact center resource.

System and method for providing interaction history via a customer application

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Burlingame, CA, United States of America

Merijn Te Booij