Store early warning method and system based on passenger flow volume, medium and equipment

Abstract

The invention provides a store early warning method and system based on passenger flow volume, a medium and equipment. The store early warning method based on the passenger flow volume comprises the steps of calculating a growth rate of the passenger flow volume of a store in a first statistical time period relative to the passenger flow volume of the store in a second statistical time period to obtain a first passenger flow volume growth rate; calculating the growth rate of the total passenger flow volume of all shops in the first statistical time period relative to the total passenger flow volume of all shops in the second statistical time period to obtain a second passenger flow volume growth rate; classifying the shops according to the first passenger flow volume growth rate and the second passenger flow volume growth rate; calculating a rating score of the store according to the classification result of the store; and carrying out early warning on the store according to the numerical interval where the rating score of the store is located. Compared with a traditional manual analysis mode, the store early warning method based on the passenger flow volume is higher in efficiencyand accuracy and higher in objectivity.

Description

technical field [0001] The invention belongs to the field of store early warning, and relates to a store early warning method, in particular to a store early warning method, system, medium and equipment based on passenger flow. Background technique [0002] At present, video recognition technology exists, and video equipment is placed in each store, and the customer flow of the store in a unit time can be obtained. This technology provides sufficient data support for the store early warning algorithm. Through the analysis and processing of these data, it can be determined whether the business effect of the store can be warned. However, as the number of stores continues to increase, it is difficult for operators to keep track of the operating status of different stores. In practice, operators often use manual data analysis and processing to realize early warning of stores, which is inefficient. Contents of the invention [0003] In view of the above-mentioned shortcomings...

AI Technical Summary

Problems solved by technology

[0003] In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a store early warning method, system, medium and equipment based on passenger flow, which is used to solve the problem of low early warning efficiency in existing stores

Images