Commodity competition situation analysis method and device based on position big data and medium

Abstract

The invention provides a commodity competition situation analysis method based on position big data. The method comprises the following steps of collecting the terminal position coordinates, a commodity tracing bar code in a terminal corresponding to the terminal position coordinates, the commodity flow direction tracing data and a sales price tag image; carrying out quality inspection on the commodity flow direction tracing data, carrying out formatting cutting on the commodity flow direction tracing data after quality inspection to obtain cutting data, carrying out quality inspection on a sale price label picture of the commodity at the terminal, and extracting a sale price; constructing a commodity period effect analysis mode by cutting data and period effect characteristic factors, analyzing a period effect problem of a commodity by the commodity period effect analysis mode, and constructing a commodity promotion analysis mode by sales prices and promotion characteristic factors toanalyze a sales problem of the commodity. According to the invention, through the commodity period effect analysis mode and the commodity promotion analysis mode, the comprehensive analysis is carried out on the commodity delivery links, stockpiling and goods fleeing of regional agents and illegal sales problems of terminals, and the method has high universality, high practicability and high expandability.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a method, device and medium for analyzing commodity competition situation based on location big data. Background technique [0002] In the sales process, enterprises always face the embarrassing situation of unsalable goods, and the birth of this embarrassing situation is caused by many factors. These factors include internal factors of the enterprise, factors of regional agents, and retail sales. Terminal factors, competitor factors. At present, the analysis of the competitive situation in the process of commodity sales lacks an analysis model that can reflect the characteristics of the commodity sales cycle, time characteristics, and regional characteristics. It is difficult to monitor and analyze violations such as pricing and regional agents’ overstocking. Contents of the invention [0003] In order to overcome the deficiencies of the existing technology, one of the...

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Problems solved by technology

[0003] In order to overcome the deficiencies of the prior art, one of the purposes of the present invention is to provide a method for analyzing commodity competition situation based on location big data, so as to solve the problem of false promotions, illegal promotions, cross-selling, and sales prices that are not in accordance with regulations in the terminal sales of commodities. It is difficult to monitor and analyze illegal behaviors such as prices and regional agents pressing goods. It has high universality, high practicability and high scalability.

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