Small-scale supermarket automatic procurement method and system based on data analysis

Abstract

The invention provides a small supermarket automatic procurement method based on data analysis and belongs to the technical field of data analysis. A problem that sales data information accumulated byexisting management software of a supermarket cannot be used for subsequent sales prediction and auxiliary procurement is solved. An adopted technical scheme comprises a step of extracting useful commodity sales data from existing sales data information, a step of cleaning the extracted commodity sales data to filter unwanted fields and attributes, a step of calculating sales ranking, recommendation ranking and daily demand prediction values of commodities by using a constraint condition of the commodities, a content recommendation algorithm and an association rule algorithm, a step of automatically calculating a procurement demand list of the commodities with the combination of an existing commodity inventory of the supermarket, and a step of automatically sending a purchase mail with the combination of the existing commodity supplier information of the supermarket and completing an order placing process to achieve the purposes of inventory optimization, the reduction of occupation of purchase funds and quick completion of the supply of commodities. The invention also provides a small supermarket automatic procurement system based on data analysis.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to an automatic purchasing method and system for small supermarkets based on data analysis. Background technique [0002] In recent years, more and more consumers shop through online platforms. The sales of e-commerce supermarkets such as Tmall and JD.com have grown rapidly, while the sales growth of the physical retail industry has slowed down, and even experienced negative growth. Compared with the strong cost advantages and technological advantages behind large supermarkets or supermarket chains, small supermarkets such as community stores and convenience stores face greater challenges. Some large supermarket chains, such as Wal-Mart, have established systems for mining customer consumption behavior based on the Hadoop platform, while most small supermarkets only have simple supermarket management software to record product sales information, but have no analysis tools for ...

AI Technical Summary

Problems solved by technology

Some large supermarket chains, such as Wal-Mart, have established systems for mining customer consumption behavior based on the Hadoop platform, while most small supermarkets only have simple supermarket management software to record product sales information, but have no analysis tools for these data. For processing and analysis, it cannot be used for subsequent sales forecasts and auxiliary procurement

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