Store scale attribute determination method and device and matching method and device

Abstract

The invention provides a store scale attribute determination method and device, and a matching method and device, and the method comprises the steps: determining a target business, and obtaining the initial data of the input amount of the target business by housing resource brokers at different posts; a general standard group is extracted based on the initial data, initial scores of different posts in the general standard group are determined, and the general standard group at least comprises one set of general standards; selecting a target initial score and a general standard corresponding to the target initial score from the initial scores through a preset condition; obtaining weight values corresponding to different posts based on the target initial score and a general standard corresponding to the target initial score; and according to the weight value, determining the virtual number of housing resource brokers at different posts in the store, and according to the virtual number of the housing resource brokers, determining the scale attribute of the store. The method achieves the matching of the determined scale attribute of the store and the actual capability of the store, and improves the maintenance capability of the store.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for determining store size attributes, and a matching method and device. Background technique [0002] In the store real estate maintenance relationship business, the scale attribute of the store will be determined according to the number of stores, and the store will maintain the real estate based on the scale attribute. There are brokers with different positions in the store, such as sales posts, leasing posts, etc. The types of business that real estate brokers in different positions are good at vary. In the existing technology, when determining the scale attribute of the store, it only counts the number of people in different positions, and does not consider the differences in the types of business that real estate brokers are good at in different positions, resulting in a discrepancy between the scale attribute determined for the store and the ...

AI Technical Summary

Problems solved by technology

In the existing technology, when determining the scale attribute of the store, it only counts the number of people in different positions, and does not consider the differences in the types of business that real estate brokers are good at in different positions, resulting in a discrepancy between the scale attribute determined for the store and the actual capacity of the store. Inefficient store maintenance

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