Design and research of intelligent customer service system under the background of digital transformation of power supply enterprises

With the acceleration of digital construction by power supply enterprises, intelligent customer service systems have gradually become an important auxiliary tool for improving service quality and efficiency. This article studies the system design structure, semantic recognition mechanism, and functional collaboration process, and analyzes its operational performance and optimization process. From the aspects of service response logic, semantic model parsing ability, and module interaction efficiency, this article summarizes the important role played by intelligent customer service systems in digital transformation and the shortcomings in their development and proposes effective optimization measures. This indicates that the system has practical value in improving communication experience, reducing processing latency, and enhancing business linkage.