QuestionQ87

Contact Center Analytics

A large retail company intends to optimize customer service operations by using AI to analyze conversation transcripts from every service channel. Its objectives are to identify common contact reasons, predict customer sentiment, and provide personalized recommendations to service reps during live interactions.

Which solution should a Service Cloud Consultant use to satisfy these requirements?

  • A Use Data Cloud to unify transcript metadata, loyalty, and service data to generate calculated insights and sentiment based recommendations for service reps and supervisors.
  • B Use Einstein Article Recommendations to suggest knowledge articles based on historical case topics, and enable Chat Transcripts for service rep review.
  • C Enable Omni-Channel and use Service Analytics dashboards to monitor volume and service rep activity across channels in real time.
Explanation

Data Cloud can analyze conversation transcripts from service channels, unify them with loyalty and service data into customer profiles, and produce calculated insights that support personalized actions during service interactions. This supports identifying recurring contact reasons, deriving sentiment-based insights, and presenting relevant recommendations to service reps.

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