E-commerce platform commodity panic buying management system based on big data analysis

Abstract

The invention discloses an e-commerce platform commodity panic buying management system based on big data analysis, and the system comprises the steps: obtaining the account information of each group-participating panic buying user of each pre-panic buying commodity in an e-commerce platform in an application time period, and screening each qualified group-participating panic buying user of each pre-panic buying commodity in the application time period; and according to the number of the qualified panic buying users participating in the group corresponding to each pre-panic buying commodity and the advance payment state of each corresponding qualified panic buying user participating in the group, performing a panic buying link of the corresponding pre-panic buying commodity, thereby effectively improving the flexibility of commodity panic buying management of the e-commerce platform. According to the method, the requirements of complexity, large scale and timeliness of electronic commerce platform operation are met, meanwhile, the panic buying success users and the panic buying failure users corresponding to the panic buying commodities are counted, and targeted management is carried out, so that the enthusiasm of the users to participate in panic buying activities is increased, and the negative psychology of the users on the panic buying activities of the commodities on the electronic commerce platform is counteracted.

Description

technical field [0001] The invention relates to the technical field of commodity rush-buying management, and relates to a commodity rush-buying management system on an e-commerce platform based on big data analysis. Background technique [0002] With the rapid development of e-commerce, the number and types of e-commerce platforms are increasing, which provides a lot of convenience for consumers' daily shopping and greatly promotes the development of social economy. In order to increase the attention and activity of e-commerce platforms, as well as increase the intensity and influence of communication, many e-commerce platforms now choose to organize group buying activities on a regular or irregular basis. By carrying out commodity rush activities, more users can be attracted to pay attention to the e-commerce platform, and the influence of the e-commerce platform has been enhanced. [0003] The current rush-buying activities on e-commerce platforms meet the needs of users ...

AI Technical Summary

Problems solved by technology

[0004] First, in the rush-buying activities of e-commerce platforms, most of the rush-buying management needs to manually review the information of users participating in the group rush-buying, and effectively intervene in the operation of the rush-buying commodities. This method of relying solely on manual operations is heavy, complicated and lacks Flexibility, unable to meet the complexity, scale and timeliness requirements of e-commerce platform operations, thus affecting the expected operational quality of e-commerce platforms for commodity rush activities;

[0005] The second is that the current e-commerce platform lacks pertinence in the handling of product snap-up activities. There are no targeted comfort measures for users who fail to snap up products. At the same time, it is impossible to identify users who have participated in many times but failed to snap-up. For these users, one or two snap-ups The failure is only disappointing. If users fail to snap up many times, they will directly hit the enthusiasm of users to participate in the snap-up activities, making them feel negative about the snap-up activities on the e-commerce platform. to have an adverse effect;

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