OPTIMIZED ROUTING OF INTERACTIONS TO CONTACT CENTER AGENTS BASED ON MACHINE LEARNING

Patent №

US 9,635,181

Granted

2017-04-25

Filed 2015

Owner

GENESYS TELECOMMUNICATIONS LABORATORIES, INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14887297

A system that is adapted to route interactions to contact center agents. More specifically, the system is adapted to identify an interaction to be routed, and identify a group of agents based on one or more constraints for generating one or more candidate agents. The system is also adapted to gather context data surrounding the candidate agents. For each agent of the candidate agents, the system is adapted to estimate an expected value to be obtained by routing the interaction to the agent. The system is further adapted to select a particular agent of the candidate agents based on the estimates, and signal a routing device for routing the interaction to the particular agent.

Machine learningNatural languageKnowledge representationPlanningAI hardwareH04M 3/5233H04M 3/5232H04M 3/5238H04M 2203/40H04M 2203/401H04M 2203/655

AI classification

Planning1.00
Knowledge representation1.00
Machine learning1.00
AI hardware0.93
Natural language0.65
Speech0.04
Vision0.04
Evolutionary computation0.02

Ownership

GENESYS TELECOMMUNICATIONS LABORATORIES, INC.

assignment · 404230328

Assignors

MCGANN, CONOR, ARAVAMUDHAN, BHARATH, MAKAGON, PETR, RISTOCK, HERBERT WILLI ARTUR, KONIG, YOCHAI, DUCLOS, GREGORY JACOB, ZHAKOV, VYACHESLAV, PELEMIS, DAMJAN

On an employer assignment, the assignors are typically the inventors.

From the same owner

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