AdaCoach: A Virtual Coach for Training Customer Service Agents
Shuang Peng, Shuai Zhu, Minghui Yang, Haozhou Huang, Dan Liu, Zujie, Wen, Xuelian Li, Biao Fan

TL;DR
AdaCoach is an innovative virtual training system that uses NLP to simulate customer interactions, helping new customer service agents improve their skills through automated evaluation and real-time feedback.
Contribution
This paper introduces the first human-computer interaction based system for training customer service agents, integrating NLP for simulation and performance assessment.
Findings
Supported over 500,000 training sessions.
Cultivated more than 1,000 qualified agents.
Demonstrated effectiveness of automated dialogue evaluation.
Abstract
With the development of online business, customer service agents gradually play a crucial role as an interface between the companies and their customers. Most companies spend a lot of time and effort on hiring and training customer service agents. To this end, we propose AdaCoach: A Virtual Coach for Training Customer Service Agents, to promote the ability of newly hired service agents before they get to work. AdaCoach is designed to simulate real customers who seek help and actively initiate the dialogue with the customer service agents. Besides, AdaCoach uses an automated dialogue evaluation model to score the performance of the customer agent in the training process, which can provide necessary assistance when the newly hired customer service agent encounters problems. We apply recent NLP technologies to ensure efficient run-time performance in the deployed system. To the best of our…
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Topic Modeling · AI in Service Interactions
Methodstravel james
