Patent · US Active

Optimized routing of interactions to contact center agents based on machine learning

US9635181B1 · kind B1 · utility

48Cited by
17References
16Claims
0Family size

Assignee

Inventors

Key dates

Filing dateOct 19, 2015
Grant dateApr 25, 2017
Priority date
Expiry dateOct 19, 2035

Classification

  • Technology area (CPC H)Electricity
  • CPC primaryH04M2203/655
  • WIPO fieldTelecommunications
  • WIPO sectorElectrical engineering

Abstract

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.