Through in-depth learning, machine learning, many sensors and other artificial intelligence technologies, intelligent " no - perception" shopping can be realized, including intelligent display and recommendation of goods, intelligent follow-up of shopping carts, recommendation of shopping route planning, automatic intelligent check-out without queuing, and tracking of personnel flow and so on. At the same time, by mining and analyzing the big data business intelligence of goods and customers, the customer's big data feature portrait of customer's shopping habits, customer preferences, customer concerns and so on can be realized. To realize multi-dimensional intelligent management of commodities, including mining the advantages and disadvantages of commodities, forecasting and analyzing the turnover frequency of commodities, optimizing the matching of commodity positions, and so on. Finally, the ultimate shopping experience of customers and the maximization of resources for goods and supermarkets will be realized.