Method and system for intelligent analysis of store information

Abstract

The invention relates to a method and system for intelligent analysis of store information. The method includes acquiring mobile terminal information within a set range of the store; acquiring the attention of products in the store; Analysis results; store layout and management according to the analysis results. The present invention obtains the store entry rate by capturing the number and MAC address of the mobile terminals, obtains the product attention of the store from the sensor embedded in the product label, and obtains the product that is only viewed but not picked up in combination with the product facing the location of the mobile terminal. Product product attention, statistics and analysis, based on import analysis, mobile terminal information and product attention analysis, store management, high intelligence, high data analysis and statistical accuracy, timely for unqualified stores. Early warning, and give the store the best window display and store entrance layout plan to increase the sales volume of the store.

Description

technical field [0001] The present invention relates to a data analysis method, and more particularly to a method and system for intelligent analysis of store information. Background technique [0002] In public places such as supermarkets, stores, and coffee shops, precise product marketing is often required, and products that customers are interested in are pushed according to user preferences, age, gender, etc., so as to bring additional profit growth points to merchants. The existing store marketing methods are to display conspicuous and main products on the store windows, or to introduce products to consumers after they enter the store, but these two marketing methods are one-way. , store managers cannot accurately know which products are hot-selling products, and which location of the store is the place that consumers pay the most attention to. , and cannot tap the potential sales capacity of the store, that is, it is impossible to know the store's entry rate and atte...

AI Technical Summary

Problems solved by technology

The existing store marketing methods are two ways of marketing, such as placing conspicuous and main products on the store windows, or introducing products to consumers after entering the store, but these two marketing methods are one-way , the store management personnel cannot accurately know which products are hot-selling products, which location of the store is the most concerned place for consumers, and the store management personnel can only judge the pass rate of the store sales based on artificial counting, sales volume and sales styles of the day , it is impossible to tap the potential sales capacity of the store, that is, it is impossible to know the store entry rate and attention rate of the store, which may easily lead to inaccurate analysis of the store and a decline in sales

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