Global Tech Company Multiplies CX and Savings in the Contact Center Using Intelligent Automation One of the world’s largest technology companies had a goal nearly every business can relate to. They sought to create better experiences for customers calling their contact center, as well as for the agents taking their calls. This brand is known for leading innovation throughout the world—but their customers often received a different impression when they called the company for support. The interactive voice response (IVR) phone system for their online store, for example, struggled to capture the customer’s true intent; it routed 60 percent of inbound tech support calls to the wrong agent group—usually to sales agents, who either transferred the calls or spent their costly minutes attempting to resolve customers’ issues. These misrouted calls dialed up operational costs for the contact center, as well as customer and agent frustrations. An Ideal Starting Point The company engaged CSG, who saw how to vastly
improve the call routing by using a conversational AI-powered IVR. CSG would stand up a virtual voice agent to greet inbound callers and provide selfhelp, as well as route customer inquiries related to order status, sales, billing, account management and tech support. CSG offered this intent-based call routing capability as part of its comprehensive solution, Intelligent Automation for the Contact Center. The solution, which is powered by CSG XponentTM, applies the CSG Conversational AI platform to engage customers and assist contact center agents in a variety of ways. All its use cases drive toward these
outcomes: creating better customer and agent experiences while reducing operational costs. For this company, CSG would launch intentbased call routing in the online store IVR as a proof of concept. It was a high-impact starting point, considering the high customer friction and operational costs the online store’s existing system generated. How the Virtual Agent Works Conversational AI allows a virtual agent to listen, understand and respond to humans in ways that mimic natural conversation. It greets a customer with an open-ended prompt when they call the contact center (e.g., “What can I help you with today?”). It converts the customer’s response from speech to text, and then it analyzes the text using natural language processing, allowing the AI to zero in on the customer’s underlying intent in ways other IVRs and lesser AI platforms tend to miss.
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