A shelf commodity sales effect improving method and system based on artificial intelligence

Abstract

The invention relates to a shelf commodity sales effect improving method and system. The method comprises the following steps of firstly acquiring photo data of different shelf commodities and uploading the photo data to a cloud server; using the cloud server intelligently to analyze the photo data by using an artificial intelligence image recognition engine analysis technology and extract the accurate shelf commodity display data; downloading the goods shelf display data from a cloud server through a data analysis processing unit of a central server; meanwhile, associating the data processingunit with the commodity payment checkout system to receive sales data; establishing association between the shelf commodity display data and the sales data, analyzing and processing the association,and then establishing a correlation calculation model of the shelf commodity display data and the sales data based on the principle of a statistical data model; and establishing a correlation graph according to the optimized correlation calculation model, and finally customizing an adaptive sales strategy according to the correlation graph, thereby effectively solving the problem of low sales effectiveness of the retail store.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence analysis, in particular to an artificial intelligence-based method and system for improving shelf merchandise sales effectiveness. Background technique [0002] Fast-moving consumer goods sales are very typical channel sales. Almost all sales of fast-moving consumer goods come from terminal retail stores. Therefore, how to make good use of terminal retail stores and how to improve the sales enthusiasm and influence of retail stores is to do a good job in fast-moving consumer goods. The key point of consumer goods, and if the sales store wants to operate well, it has nothing to do with its shelf display and product placement. However, existing retail stores do not pay attention to shelf display and product placement, and put different categories and different series of products. Arbitrary placement, irregular distribution, and untimely replenishment lead to customers not bei...

AI Technical Summary

Problems solved by technology

[0003] The present invention provides an artificial intelligence-based method for improving the sales effectiveness of shelf commodities in order to solve the problems of unclear sales results caused by improper display of shelf commodities in existing retail stores. The data is associated with the shelf product display data in real time, and the correlation calculation model between the shelf product display data and sales data is established through the statistical data model principle, and then the correlation between the shelf product display data and sales results is analyzed and effective sales strategies are proposed. , to guide retail store managers to put on shelves and distribute goods reasonably, so as to improve sales effectiveness

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