Use CaseCustomer Service

Improve Interactive Voice Response (IVR) effectiveness

Improve IVR effectiveness through deploying voice to text and natural language processing (NLP) to better capture and enable response to customer queries. Understanding customer pre and in-call intent helps reduce time to serve and potential customer problems. This leverages Natural Language Processing (NLP) and machine learning to estimate and manage customer's intent on calls. In-call assessment enables multiple functionalities: e.g. call routing, issue triage, automated responses.

Other
Cost - Job automation
Other
Operational - Customer wait times
Other
Revenue - Customer engagement
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