Abstract: Under the guidance of granular computing, the supermarket customer database information was  firstly preprocessed, and according to the processed information after subdividing customer information, different service for different levels of groups can be given. Secondly, the behavior characteristics of customers were clustered into different levels and the behavior patterns of supermarket member were analyzed, further a suitable marketing strategy can be made.