Online and offline deep combination shopping system and shopping control method thereof

Abstract

The invention discloses an online and offline deep combination shopping system and a shopping control method thereof. The shopping system comprises a cloud server, a mobile terminal and a payment terminal, wherein the mobile terminal and the payment terminal are respectively connected with the cloud server. The system can achieve the precise marketing, payment on a vehicle and high-speed settlement, greatly improves the area effectiveness of a shop, and can quickly break a benefit bottleneck. The system needs fewer cashiers and guide and promotion workers, is lower in management and marketing cost, and can greatly reduce the manpower cost. The system can collect the user's portrait, a consumption structure and shopping behaviors data in the whole process, and can enable the supermarket decision making to be transferred to a mode of data drive from a mode of experience-based judgment. The method for reducing the cost and improving the efficiency can greatly improve the benefit of a supermarket, and also improves the core competitiveness of the supermarket.

Description

technical field [0001] The invention belongs to the field of intelligent shopping, and in particular relates to a shopping system with deep integration of online and offline shopping and a shopping control method thereof. Background technique [0002] Data from iResearch shows that in 2015, China Mobile's online shopping transaction scale reached 2.1 trillion yuan, accounting for 55.5% of the overall online shopping transaction scale, an increase of 21.7 percentage points over last year. The mobile terminal has surpassed the PC terminal to become the largest mobile online shopping market main consumption scenarios. Features such as anytime, anywhere, fragmentation, and high interaction make the mobile terminal a link, boosting the development of the online shopping market in the direction of "online + offline", "social + consumption", and "entertainment + consumption", realizing integrated marketing, multi- Screen interaction and other modes. In the Internet era, the tradi...

AI Technical Summary

Problems solved by technology

However, this scheme has three major natural flaws

[0014] ①High material cost

[0015] ②High labor cost

At present, the commodity theft rate in the supermarket industry is about 3% of sales, of which two-thirds are internal theft. The main reason is that anti-theft magnetic strips cannot be printed, but can only be manually pasted. Add magnetic strips, if the remaining 70% of the goods are all affixed with magnetic strips, then the labor cost will far exceed the cost of theft

If the RFID solution is adopted, electronic identification tags will be added to all commodities, and the labor cost is also unbearable for supermarkets.

[0016] ③In fact, the most fatal defect is brought by RFID itself, it cannot penetrate metal

Because developed countries generally have a relatively sound credit reporting system with a high degree of credit, and the flow of people in supermarkets is not too dense, coupled with the post-settlement sampling process, developed countries such as Europe, America and Australia still use it more; Yonghui Superstores is the first The domestic supermarkets introduced this method, but after using it, it was found that because the domestic credit reporting system is not yet perfect, consumers still need special personnel from the supermarket to monitor the whole process in a specific self-service settlement area, and the proficiency of consumers' operation is lower than that of the supermarket. There are no professional cashiers, which leads to more serious queuing in this area, so basically, they are used less now

Therefore, in summary, the two types of solutions mentioned above have not fundamentally solved the pain points of just-needed needs of supermarkets and consumers.

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