Vending machine site selection method and device based on multi-source big data

Abstract

The invention discloses an automatic vending machine site selection method based on multi-source big data. The method comprises the steps: obtaining operational factors and marketing factors of all districts of a target region, carrying out the scoring, and obtaining a scoring result corresponding to each factor; performing superposition analysis on each scoring result to obtain a multi-factor scoring result of each district of the target area; grading the multi-factor scoring result to obtain candidate site selection positions; generating candidate site selection points with corresponding densities according to the candidate site selection positions with different levels of suitability, and determining demand points for site selection according to population distribution conditions of thetarget area; establishing a location-configuration model according to the social media data, and obtaining different location selection results according to the candidate location selection points and the demand points; and performing site selection of the vending machine according to different site selection results. The vending machine site selection method and device based on the multi-sourcebig data can effectively solve the problem that in the prior art, site selection cannot be reasonably conducted on a vending machine.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a method and device for selecting a location for a vending machine based on multi-source big data. Background technique [0002] In recent years, with the development of information technology and the increasing abundance of mobile payment methods, vending machines, as a new retail service model without self-service, have shown a rapid development trend in China. The operation of vending machines involves many links, and the location of the point is related to long-term operational benefits. Therefore, it is of great significance to scientifically select the location of vending machines and to configure the space of the outlets for precise location selection and improvement of long-term benefits of operation. There are mainly two methods for selecting the location of existing vending machines. The first method is to rely on personal experience to select the location....

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a method and device for selecting the location of a vending machine based on multi-source big data, which can effectively solve the problem that the existing technology does not comprehensively consider the factors affecting the location of the vending machine, so that the location of the vending machine cannot be effectively guaranteed rationality

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