Consumption data processing method and device

Abstract

The invention discloses a consumption data processing method and device. The method comprises the steps of receiving a consumption data processing request sent out from each user when consumption is done in a store on an E-commerce platform, and building a consumption return mapping relation between the user and an initial diversion store thereof if initial consumption of the user is performed on the E-commerce platform and the user is not recommended by other users, wherein the initial diversion store is a store in which the user is finally introduced to consume on the E-commerce platform; building a consumption return mapping relation between the user and the initial diversion store of an initial user, consuming on the E-commerce platform, in the other users and a consumption return mapping relation between the user and the other users if the initial consumption of the user is performed on the E-commerce platform and the user is recommended by the other users; and rebating according to an identifier of the user in each consumption data processing request and the consumption return mapping relation of the user. By the method, vicious competition can be prevented by sharing user flow on the E-commerce platform.

Description

technical field [0001] The invention relates to the technical field of e-commerce, in particular to a consumption data processing method and device. Background technique [0002] Traditional e-commerce platforms have been developed for many years. With the help of Internet technology, they have solved the problems of information asymmetry, transaction efficiency and transaction costs, but intensified the vicious competition in the industry. The rent of traditional shopping malls and street stores depends on the location of the store. If the location is good, the traffic will be large and the rent will be high. If the location is poor, the traffic will be small and the rent will be low. The traditional e-commerce platform just copied this model to the Internet. It is essentially the same as the model of traditional shopping malls and street stores. They all rely on charging entry fees (platform service fees), bidding rankings (renting or selling store locations, in order to p...

AI Technical Summary

Problems solved by technology

[0003] The consequence of this traditional e-commerce model is intensified competition. The competition for user traffic between traditional e-commerce platforms is nothing more than advertising wars and price wars. Traditional e-commerce platforms also guide merchants to spend their energy and funds mainly on advertising wars and price wars. In terms of competition (bidding ranking), it is easy for merchants to ignore or have no time to consider the quality of products and services. Vicious competition will cause huge damage to the industrial chain, and the vicious circle of this model will never end.

Images