Intelligent self-service shopping method and system

Abstract

The invention provides an intelligent self-service shopping method, which comprises the following steps of S1, collecting biological characteristic information of a consumer; S2, comparing the difference between the biological characteristic information and pre-stored biological characteristic information so as to determine whether the consumer has registered a shopping account or not; S3, allowing consumers to enter into a shopping area if the shopping account is already registered; S4, acquiring the basic information of the commodities in the shopping cart of the consumer in real time and generating a shopping list; S5, detecting that a consumer leaves the shopping area, and confirming the identity and the shopping account information of the consumer; S6, sending a settlement request toa remote mobile terminal of the consumer, and detecting whether the payment is successful or not; S7, allowing the consumer to leave after the payment is detected to be successful, and automatically updating the pre-stored commodity inventory data. The intelligent self-service shopping method and system can quickly complete commodity settlement, and the shopping experience of consumers is improvedto a certain degree.

Description

technical field [0001] The invention relates to the field of biological feature identification, in particular to an intelligent self-service shopping method and system. Background technique [0002] With the development of Internet e-commerce and logistics industry, the traditional offline retail industry has been hit by an unprecedented impact and generally sluggish. The research found that the main reasons for the sluggishness of the traditional offline retail industry include: first, rising operating costs; second, poor user experience for consumers; third, vicious competition among peers. Among them, labor costs and maintenance costs account for the main part of the operating costs of the traditional offline retail industry. In the face of soaring labor costs and maintenance costs, some new models of retail industries such as self-service vending machines and "unmanned supermarkets" have gradually emerged on the market. These new models of retail industry generally rel...

AI Technical Summary

Problems solved by technology

Therefore, the "unmanned supermarket" in the existing technical solutions cannot really provide consumers with a "take it and go" shopping experience; in addition, the RFID electronic tags used to identify product information are expensive to manufacture and easy to use. Damaged or interfered, it is not suitable for the marking of certain special commodities such as metals

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