Abstract:State grid Chongqing electric power company information and communication branch (referred to as the company) is responsible for the customer service of Chongqing electric power information and communication system. With the improvement of service quality and customer satisfaction requirements, customer service work should be changed from passively accepting customer business consulting to actively providing customers with business services. However, at present, the company does not carry out hierarchical management of customers, and all customers carry out services according to unified standards, which is not conducive to the effective allocation of customer service resources. In order to provide better experience for customers and achieve accurate service, this paper proposes an algorithm combining spectral clustering with fuzzy clustering (fuzzy spectral clustering algorithm for short), which is based on feature vector extraction to cluster the customers of power companies and excavate potential information in a large number of customer data. The case analysis shows that compared with other typical clustering indexes, the proposed algorithm can cluster the customers of power companies more effectively.