Retail store product sales predicting method based on collaborative filtering
A collaborative filtering algorithm and collaborative filtering technology, used in forecasting, business, instrumentation, etc., can solve the problems of no collaborative filtering recommendation system application method and difficulty in obtaining customer data.
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[0046] The present invention will be further elaborated below in conjunction with the accompanying drawings.
[0047] Such as figure 1 Shown is the implementation flow chart of the method for forecasting product sales at retail outlets based on collaborative filtering in the present invention, specifically including:
[0048] Step 1: Collect data including retail outlets, products (specifications), and known sales volume of products at retail outlets; known sales volume refers to sales data with sales performance within the target time of investigation, especially for products that have been launched The sales performance data of retail outlets for full marketing and promotion activities; from the perspective of enterprises’ easy access to data, the sales volume of products can also be regarded as the number of orders purchased by retail outlets from manufacturers;
[0049] Step 2: In order to make the sales data of different products at different retail outlets have uniform ...
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