Year: 2025
Type: conference-paper
Abstract: Traditional Call-Center System have obvious shortcomings in service efficiency, data analysis, customer experience, and other aspects, which constrain the improvement of service quality and operational efficiency in industries such as financial consulting and management. This plan aims to provide a practical and feasible intelligent Call-Center system upgrade solution for traditional consulting firms. This paper aims to discuss the design of intelligent Call-Center system. The system combines advanced technology to provide efficient and high-quality customer service. Through the detailed analysis of the system architecture, functional modules and key technologies, this paper expounds its important role in improving customer satisfaction and enterprise operation efficiency.
Authors: Ziyi Xia, Yin Deng, Yan Zhuang, Chenghan Wang, Yudi Zhang, Yanling Deng
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4413812452