Intelligent supermarket shopping management system

Abstract

In the invention, a display screen, an ultrahigh frequency RFID reader and writer, an ultrahigh frequency RFID label, a commodity and the like are adopted, and an electronic display screen and the ultrahigh frequency RFID reader and writer are installed on a shopping trolley. Simultaneously, a SQL Server database provides a data service. The reader and writer in the shopping trolley can read commodity information pasted with an information label and commodity area position information pasted with a position label. The system read information from a database through a wireless network and displays on the display screen. A large-scale reader and writer at an exit can read the commodities in the shopping trolley for one time. A user can pass through after self-checkout. Compared to the prior art, customer shopping time can be saved; a customer shopping experience can be increased; the commodity information can be acquired conveniently; through using a navigation function, time for the customer to search the commodities can be saved; through the self-checkout, time for the customer to queue so as to pay can be saved; intelligent commodity recommending provides a humanized service for the customer; a supermarket service is integrally optimized, and shopping efficiency and the experience are increased.

Description

technical field [0001] The invention relates to the technical field of management systems, in particular to a supermarket shopping management system. Background technique [0002] Due to the advantages of large scale, many commodities, good reputation and good service, supermarkets have become the first choice for people to shop for leisure. However, with the continuous development of supermarkets and the continuous increase of customers, more and more problems have emerged. The main points are as follows. First, most of the current supermarket shopping guides are done manually. There are relatively large limitations in functions and services. The information obtained may not be accurate. At the same time, customers may feel repelled by manual shopping guides. ; Second, the recommended products in supermarkets are generally displayed on billboards in specific areas, and the degree of dispersion of different products is serious, which is not conducive to customers finding the...

AI Technical Summary

Problems solved by technology

The main points are as follows. First, most of the current supermarket shopping guides are done manually. There are relatively large limitations in functions and services. The information obtained may not be accurate. At the same time, customers may feel repelled by manual shopping guides. ; Second, the recommended products in supermarkets are generally displayed on billboards in specific areas, and the degree of dispersion of different products is serious, which is not conducive to customers finding the products they want to buy; There are many types, usually there are multiple floors, and each floor has different product areas, which will make it difficult for customers to find the products they want to buy quickly and accurately when purchasing products; Supermarkets are large in scale, and the number of people tends to skyrocket during peak shopping periods. The traditional supermarket checkout method is slow and inefficient. It takes a lot of time to scan the items one by one and give change, which leads to a long queue at the checkout. Customers often have to wait a long time to complete the checkout

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