Method, system and storage medium for statistical analysis of sales data of vending machine

Abstract

The invention discloses a sales data statistical analysis method, a system and a storage medium of a vending machine. The method comprises the following steps: obtaining the historical sales data of the vending machine; performing Feature extraction of historical sales data to obtain the feature vector of historical sales data; Analyzing the commodity sales data according to the eigenvector; Wherein, the commodity sales data analysis includes sales volume analysis, seasonal analysis, price analysis, regional analysis and sales change analysis; According to the result of the analysis of the commodity sales data, forcasting the merchandise to be sold of the vending machine. Based on the preset screening rules, selecting several kinds of merchandise to be sold as the target merchandise from the forecasting results. The invention can provide real-time merchandise sales suggestions for merchants according to the screened target merchandise, improves the real-time property and accuracy of data analysis, can fully excavate consumer preferences, has higher pertinence, and can be widely applied in the technical field of data analysis.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a statistical analysis method, system and storage medium for sales data of a vending machine. Background technique [0002] A vending machine (Vending Machine, VEM) is a machine that can automatically pay according to the coins put in. Vending machine is a common equipment for commercial automation. It is not limited by time and place. It can save manpower and facilitate transactions. It is a new form of commercial retail and is also known as a 24-hour miniature supermarket. At present, the common vending machines in China include beverage vending machines, food vending machines, comprehensive vending machines and cosmetics vending machines. [0003] Due to the small size of the vending machine, there are fewer categories of goods that can be accommodated. For merchants, how to select the types of goods sold on the vending machine has become an urgent problem to be solved....

AI Technical Summary

Problems solved by technology

However, this method is limited to the sales comparison of the existing products on the vending machine, and cannot better understand other consumption preferences of consumers in this area, and the data analysis is relatively limited; in addition, this method is only available on vending machines After obtaining a certain number of commodity sales records, a rough intuitive analysis result can be generated, which is not real-time and accurate

For example, in summer, the sales volume of frozen drinks on vending machines is relatively large, but in the cooling season, because the data collected in the early stage shows that the sales volume of frozen drinks is large, a large number of cold drinks are stocked on vending machines. The sales volume of cold drinks will decrease significantly. Obviously, it is not appropriate to use cold drinks as the main commodity of vending machines at this time.

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