Current Situation
Customer service and support functions have become complex silos of data and channels that result in inconsistent latency-plagued experiences for customers.
Goals and Objectives
A methodology for servicing interactions with the appropriate level of agent/self-service should enable more rapid processing of inquiries from simple to complex.
Technology Deployed
AI, analytics, omni-channel, predictive models, avatars, customer service applications, and contact center applications
Use Case Summary
Customers are serviced in a timely, contextual, channel-independent, and predictive manner to deliver differentiated service and support.