With the development of computer technology and the urgent need of the commercial society, the recommended products urgently require the realization of intelligence and precision. The commodity intelligent recommendation system based on data mining uses Spring Boot technology at the front end and SQLite database at the back end. Data mining algorithm is used for data analysis and screening. Design and implementation the function modules of the commodity intelligent recommendation system based on data mining, such as home page, mall, exploration and me. Through the test, the performance and throughput rate of the commodity intelligent recommendation system based on data mining are good. It has good stability performance and achieves the goal of intelligent product recommendation.