The research on customer classification of B2C platform based on k-means algorithm

Unlike the traditional customer relationship management, e-commerce can not only retain transaction data, but also collect other customer information, such as browsing data, comments, and preferences. In order to solve the problem of B2C e-commerce customer classification, K-means algorithm was selected as the clustering classification method, and an improved RFM value model was proposed to add indicators that meet the e-commerce domain characteristics. The customer group in the B2C environment is well classified.