Intelligent store patrol and customer behavior visual demand analysis system for intelligent stores

Abstract

The invention discloses an intelligent store patrol and customer behavior visual demand analysis system for intelligent stores. The system comprises multiple FRID tags of which each is installed on a garment and is used for recording the information of the garment, and a store management system which is used for receiving the identification codes in the FRID tags, carrying out garment counting, settlement, purchase guide, goods receiving and returning, inventory check and data analysis and querying the information of each garment according to the identification codes in the FRID tags. The store management system comprises a management control system, a storage module, a calculation module, a first read-write antenna, a first payment module, and a tag counting module, wherein the first read-write antenna is used for communicating with the FRID tags, and the calculation module is used for analyzing consumption data according to the information recorded on the FRID tags. With the system, customer behaviors can be analyzed in order to improve the sales volume of stores and increase the consumer satisfaction of brands.

Description

Technical field [0001] The invention relates to the technical field of smart stores, and more specifically, to a smart shop patrolling and consumer behavior visualization demand analysis system for smart stores. Background technique [0002] In the eyes of many people, the clothing industry is a low-tech labor-intensive industry, but in fact it is not the case. This industry has an inseparable relationship with technological development. From the production of apparel fabrics to apparel design, production, logistics, and terminal sales, the support of science and technology is indispensable in any link. At present, my country's clothing industry has clearly defined the development goals of a "clothing power", and the "clothing power" must start from technology, brand, and culture to transform and upgrade the industry. The specific implementation of the strategy is to start with the two links of "technological contribution rate" and "brand contribution rate". Increasing the cont...

AI Technical Summary

Problems solved by technology

[0003] At present, most of the clothing industry is based on traditional operation methods, which leads to poor feedback of the entire information. When problems arise, they cannot be discovered and dealt with in time, resulting in many links being idle.

At the same time, the situation of product sales cannot be grasped in time, resulting in the out-of-stock of best-selling products and overstocking of unsalable products, which also reduces profits.

[0004] The existing traditional clothing industry is unable to analyze consumer behavior, for example, the number of times of trying on different styles of clothes, the purchase rate, etc., and the number of times of trying on a certain type of clothes but few purchases, these data cannot be obtained well statistics, that is, business decision makers cannot analyze consumer demand based on these data

This will affect the sales of the store, and also affect the satisfaction of consumers with the brand.

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