Which combination of three IBM Watson services is applicable for assisting an agent at a phone-based customer call center?

The combination of Conversation, Natural Language Classifier, and Speech to Text is particularly well-suited for assisting agents in a phone-based customer call center environment.

The Conversation service allows for the development of interactive interfaces that can manage dialogue and understand context, which is essential for understanding customer inquiries and directing conversations effectively. This can prove invaluable in a call center, where agents need to respond to varied customer queries dynamically and maintain a natural conversation flow.

The Speech to Text service provides the capability to transcribe spoken customer inquiries into text in real-time. This is critical for monitoring and analyzing calls, as well as for providing agents with immediate text feedback on what the customer is saying, enabling them to respond more accurately and efficiently.

The Natural Language Classifier complements these services by classifying and categorizing the textual input based on trained data, helping the system to determine the intent and context of the customer's inquiries. This assists agents by recommending relevant responses or actions based on the conversation's progression.

This combination holistically enhances the capability of call center agents by providing tools for understanding spoken language, managing conversations intelligently, and classifying inquiries for improved response strategies, leading to a better customer experience.