Optimization Of A-E-commerce Enterprise CRM System Based On Customer Value Segmentation

In the context of the rapid development of the network economy and the increasing competition in the market,the roles and status of the customers in the enterprises have undergone tremendous changes.The customers play a decisive role in the future survival and development of the enterprises.The key to the success of the enterprise is to determine the customer's customers and successfully obtain the customer.The reasonable customer classification is the prerequisite for the establishment of a good relationship between the enterprise and the customer and the harmonious development.It is also a very important condition.In recent years,the rapid development of the E-commerce enterprises,more and more E-commerce enterprises break out into people's vision,A-E-commerce enterprise is facing increasing competition in the market.A-E-commerce enterprise is faced with a product as the center to the customer data as the center of the model change,a reasonable breakdown of the customer has become a huge change in the premise and foundation.In the case of a large number of customer behavior data,how to conduct a reasonable breakdown of the customer,and for different types of customers to provide services in line with its characteristics,so as to better maintain the relationship between customers,and bring more profits for the enterprise,has become a problem that A-E-commerce enterprise must be solved.This paper analyzes the problems existing in the current customer relationship management system of A-E-commerce enterprise,finds out the necessity of the optimization of the customer relationship management system,and further selects the appropriate index to carry on the construction of the enterprise customer life cycle value model.Based on the analysis of K-means clustering algorithm,the improved K-means algorithm is used to subdivide the customers of A-E-commerce enterprise s,and then the existing customer relationship management system exists in customer segmentation of the defects to optimize.Work as follows:Constructing a Quantitative Model of Customer Value.Based on the theory of customer relationship management,this paper constructs the customer value model of A-E-commerce enterprise,and lay the foundation for the follow-up research.Customer segmentation based on customer value model.This paper analyzes the classical algorithm K-means algorithm,analyzes its basic ideas and processes,analyzes its shortcomings,puts forward the improvement algorithm,and further subdivides the customers of A-E-commerce enterprise.Optimization of Customer Relationship Management system.The use of customer segmentation results,optimize the current customer relationship management system in the customer segmentation of the existing deficiencies,thereby enhancing corporate customer satisfaction and retention rate,to achieve the best customer relationship management.