Author(s)

Zijie Chen, Jingqi Liu, Yingxu Wang, Siyao Wu

Corresponding Author

Zijie Chen

ABSTRACT

As a medium-sized company, the article built a model based on the purchasing behavior of 4,000 customers over the course of a year and used it as the basis for an analysis to predict the purchasing behavior of new customers over the next year. The article first category all the products sold into 6 categories by product classification, then the article category the customers into 11 categories based on the type of product purchased, the number of visits, and the amount spent. Finally, a trainer was used to categorize consumers into eight categories. It was found that 75% of the customers were classified into the correct category but the remaining error was caused by a flaw in the model. The error can still be minimized by extending the test time and using more data.

KEYWORDS

Medium Size Company, Behavior Predicting, Customers Classification