A method, device, equipment, and storage medium for generating a commodity display route

Abstract

The present application discloses a method, device, equipment and computer-readable storage medium for generating a commodity display path. The method includes: obtaining images of customers in stores and the time corresponding to the images; determining the category of commodities of interest to customers based on the images and time; Generate interest sequences based on the chronological order in which product categories appear; generate product display paths based on the interest sequences included in stores within a preset time period. The above-mentioned technical solution disclosed in this application can automatically generate the display route of commodities, so as to facilitate the display of commodities according to the generated display routes of commodities. Since the generation of commodity display routes does not require human intervention, human subjective factors can be eliminated. etc., so that the accuracy and rationality of generating the display route of the product can be improved, and the accuracy and rationality of the product display can be improved when the product is displayed according to the display route of the product.

Description

technical field [0001] The present application relates to the technical field of commodity display, and more specifically, to a method, device, equipment, and computer-readable storage medium for generating a commodity display route. Background technique [0002] Stores such as supermarkets or stores display products based on customers' interest in purchasing products and the order in which they purchase products, so that customers can easily see their target products when purchasing products, thereby promoting the purchase of products. to increase purchasing efficiency. [0003] At present, the display of products in stores is generally based on their long-term sales experience and historical sales data to make manual judgments, and then display products based on the judgment results. However, the method of manual judgment will be interfered by human subjective factors. However, there are errors and inadequacy, which will lead to relatively low accuracy and rationality of ...

AI Technical Summary

Problems solved by technology

[0003] At present, the display of products in stores is generally based on their long-term sales experience and historical sales data to make manual judgments, and then display products based on the judgment results. However, the method of manual judgment will be interfered by human subjective factors. However, there are errors and inadequacy, which will lead to low accuracy and rationality of product placement, which will affect sales.

At the same time, some newly opened stores have insufficient historical data, and product sales in different regions and locations are also different, so it is even more difficult to accurately display products

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