Commodity online purchase order-making intelligent management system based on big data analysis and cloud computing

Abstract

The invention discloses a commodity online purchase order-taking intelligent management system based on big data analysis and cloud computing, and the system enables an order-taking sharing form generated by an order-taking interface to be shared to a friend after a consumer completes the consumption payment in a merchant, thereby initiating an order-taking task, and inviting the friend to take an order online, and the red envelope reward amount of successful order-making is obtained after successful order-making, the secondary shopping interest of the consumer is stimulated, the online order-making purpose of the offline merchant is achieved, the consumer does not need to store entity coupons, does not need to understand electronic coupons too much, does not need to register members, on one hand, the shopping process of consumers is more conveniently simplified, on the other hand, offline merchants can conveniently manage the consumers, the offline merchants can be effectively helped to more efficiently utilize voluntary propaganda and drainage of the consumers, the consumers are promoted to go to shops again for consumption, and the popularization degree and the exposure rate of the offline merchants are improved.

Description

technical field [0001] The invention belongs to the technical field of commodity order collection management, and in particular relates to an intelligent management system for commodity online purchase order collection based on big data analysis and cloud computing. Background technique [0002] With the gradual promotion of the Internet, there are two forms of offline stores and online stores in the current commodity trading venues. For offline physical stores, due to the impact of online shopping, attracting traffic and promoting consumers' secondary consumption has become a pain point in the operation of offline stores. [0003] At present, commonly used methods for this business pain point include electronic / physical coupons, shopping points, group joining and other methods. For physical coupons, they are easy to lose, which is not conducive to saving and forwarding; for electronic coupons, consumers usually have a low level of understanding and trust in them, so the us...

AI Technical Summary

Problems solved by technology

For physical coupons, they are easy to lose, which is not conducive to saving and forwarding; for electronic coupons, consumers usually have low level of understanding and trust in them, so the usage rate is also low; for shopping points , the points system is cumbersome, costly, and low in efficiency; for group shopping, it generally has designated target group products, so there are many restrictions on the price system and products, so that consumers can only join group purchases on designated products. The lack of flexibility affects consumers' sense of group buying experience, which in turn reduces the success rate of group joining. All of these have not played an expected role in promoting consumers' secondary consumption

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