Some real-world examples of Machine Learning to Contact Center implementations include:
– Automatic call transcription and analysis to identify customer concerns and sentiment.
– Intelligent routing of inquiries to the most suitable agent based on skills and customer history.
– Chatbots or virtual assistants for handling simple customer inquiries and providing automated
responses.
– Predictive analytics to anticipate customer needs and personalize recommendations.
– Voice recognition for authentication and identification purposes during customer interactions.