AUTOMATED QUALITY METRIC MODELS BASED ON CUSTOMER DATA

    公开(公告)号:US20250111323A1

    公开(公告)日:2025-04-03

    申请号:US18477701

    申请日:2023-09-29

    Abstract: Systems and methods for automating quality metrics are provided. Transcripts of interactions with agents and assigned quality metrics for a variety of questions are collected for an entity. The quality metrics may relate to questions such as “Did the agent greet the customer with a friendly greeting?” and “Did the agent answer the customer's question after returning from the hold?”. For each question used by the entity to generate quality metrics, a large language model or classifier is trained for the question using the transcripts and the assigned quality metrics for the question. The transcripts may be processed to include textual information corresponding to metadata associated with the communications such as time stamps for call holds, utterances, and silent periods. The trained large language model or classifiers may then be used later to automatically assign quality metrics to current interactions for their corresponding question.

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