Store site selection method and device

Abstract

The invention provides a store site selection method and a device, and the method comprises the steps: obtaining the business type of a to-be-selected store and a target region, carrying out the griddivision of the target region, and obtaining a plurality of grids; obtaining regional attributes of an initial grid to which a to-be-selected store belongs, and feature information of each existing store with a business type, and further determining an attraction vector and a repulsive force vector corresponding to the to-be-selected store; determining whether the to-be-selected store is in a stable state according to the attraction vector and the repulsive force vector; if in a steady state, if yes, determining the initial grid as a destination address corresponding to the to-be-selected store; therefore, the region attribute of each grid in the target region and the feature information of each existing store of the same type as the store to be selected can be combined; the proper grids are automatically selected as the destination addresses corresponding to the to-be-selected stores, manual participation is reduced, the method is not easily affected by subjective factors, the efficiency and effect of store site selection are improved, and the cost of store site selection is reduced.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a store location selection method and device. Background technique [0002] The current store site selection method is to obtain the business type and target area of ​​the store to be located, obtain all existing stores with the said business type; obtain the characteristics of each existing store, such as its own characteristics, regional characteristics, performance, etc., Cluster the existing stores according to the characteristics of the existing stores, and analyze and determine the main factors affecting the performance of the stores based on the clustering results, and then manually find the appropriate store location based on these main factors. In the above scheme, it is necessary to manually search for a suitable store location based on main factors, which is costly and inefficient, and is easily affected by subjective factors, making it difficult to find the be...

AI Technical Summary

Problems solved by technology

[0004] For this reason, the first purpose of the present invention is to propose a method for store location selection, which is used to solve the problems of high cost, poor efficiency, and poor effect of store location selection in the prior art

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