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Accurate recommendation RFID

Definition: Accurate recommendation is an algorithm based on KNN neural net algorithm. It collects data such as the number of product trials, product purchase records, customer visits, customer stay time, customer purchase records, etc., will conduct label circulation and intelligent analysis, then recommend to the shopping guide tablet, and perform personal association and personalized ranking of products. Features: It uses the latest TOF technology to detect the flow of customers in the store, and at the same time uses the face capture machine to identify the guests entering the store. It can also use the cloud AI system, and the system will find the most desirable products in the product library for shopping guides to choose and recommend. Sales or customers can also choose the final solution through question and answer options. The system will automatically generate customer-specific programs through question and answer, and each program will provide customers with different product choices. According to the product gross profit, customer profile and other data, the system will automatically make recommended quotations and comprehensive discounts. When the goods are ready in the fitting room, consumers will be notified to try on. Consumers do not need to wait in line. After the try on, they will directly add to the shopping cart and purchase.


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