Store site selection system and method

Abstract

The invention discloses a store site selection system and a store site selection method. The method comprises the following steps: determining a trading area range according to the business type of a new store, determining existing stores and residential quarters in the trading area and searching attraction influence factor information of the stores; quantizing the environment in the store by using factor analysis; performing multiple linear regression analysis on the amount of sales of a plurality of stores by using a multiple linear regression formula according to the obtained environment in the store and other collected influence factors, determining the influence degree of each influence factor on attraction in the trading area and taking the influence degree as an adjusting index; calculating the attraction of the new store by using a multi-factor attraction model according to the influence factor and the corresponding adjusting index thereof obtained by regression analysis. According to the system and the method, retail enterprises can very conveniently determine the store customer sources and the distribution characteristics according to the store scales, the environments, the service and the like.

Description

technical field [0001] The present invention relates to a store location selection system and method, in particular to a store location selection system and method based on multiple service elements. Background technique [0002] In an increasingly mature business environment, many retail stores will gather in one business circle and compete with each other. The Huff model is a calculation method often used in foreign countries when investigating the size of retail store business circles. It is mainly analyzed based on the two elements of store gravity and distance resistance. The travel probability of facilities, the forecast of sales of commercial facilities, the ability of commercial agglomeration to gather customers and its representation, so as to know how the structure of commercial circles and competitive relations will change. When investigating the influence of large retail stores on surrounding commercial agglomerations This model is also often used. However, Huf...

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Problems solved by technology

[0007] Factors that attract customers to shop include scale, shopping atmosphere, service, price, and product variety, while factors that hinder consumers from shopping include traffic, distance, etc. This model is only a theoretical discussion, and it is impossible to know which factors It is really influential, and it is uncertain to what extent each factor affects the attractiveness of the business district.

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