Intelligent shopping system and use method thereof

Abstract

The invention discloses an intelligent shopping system and a use method thereof. The intelligent shopping system is used in a shopping place, and comprises a shopper position acquisition subsystem, ashopping choice subsystem, a data storage subsystem, a shopping path planning subsystem and an intelligent shopping management control subsystem. The intelligent shopping system also comprises a payment and settlement subsystem and a shopping loading device. The system, combined with the map routing technique, realizes convenient and fast commodity navigation, can calculate and provide human-friendly optimal shopping path plans through the shopping path planning subsystem according to features, gender, age, occupation and purchasing records and the like of different shoppers, and display routenavigation, and can avoid inconvenience due to queue-up payment through mobile payment. The system and method realize autonomous shopping, autonomous settlement and online payment, can help the shoppers to flexibly select and conveniently and quickly find goods to be purchased, improve shopping time utilization rate and realize a final purpose of improving shopping experience of the shoppers.

Description

technical field [0001] The invention relates to an intelligent shopping system and a using method thereof. Background technique [0002] Shopping places: Stores, supermarkets or shopping malls, as well as large shopping centers, have become the first choice for people's leisure shopping due to their advantages such as many commodities, good reputation, and good service. However, with the continuous expansion of the store scale and the continuous increase of shoppers, more and more problems have also appeared. The main points are as follows. First, most of the current in-store shopping guides are done manually, which has great limitations in functions and services. The information obtained is not necessarily accurate and staffing is insufficient; second, the current The scale of the store is getting bigger and bigger, and the variety of goods is complicated. Generally, there are multiple floors, and each floor has different product areas. The degree of dispersion of differen...

AI Technical Summary

Problems solved by technology

The main points are as follows. First, most of the current in-store shopping guides are done manually, which has great limitations in functions and services. The information obtained is not necessarily accurate and staffing is insufficient; second, the current The scale of the store is getting bigger and bigger, and the variety of goods is complicated. Generally, there are multiple floors, and each floor has different product areas. The degree of dispersion of different products is not conducive to shoppers finding the products they want to buy; the third , due to the large scale of the store, the number of people tends to skyrocket during shopping peaks, and the traditional 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. Long lines, shoppers often have to wait a long time to complete the checkout

The above problems have affected the shopping experience of shoppers, and at the same time greatly waste shoppers' time

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