Online live shopping platform data analysis processing method, system and device, and computer storage medium

Abstract

The invention discloses an online live shopping platform data analysis processing method, system and device and a computer storage medium. The online live shopping platform data analysis and processing system comprises a live commodity information acquisition module, a viewer information acquisition module, a live interaction information acquisition module, a live sales information acquisition module, a data processing and analysis module, a database and a display terminal. Comprehensive analysis is carried out on the number of viewers, the watching duration of each viewer, the number of likes of each viewer, the number of comments of each viewer, and the trading volume and the return volume corresponding to each commodity type, the problem that the analysis content of the existing live shopping platform data has one-sidedness and the authenticity of the analysis result cannot be guaranteed is solved, efficient management and control of false live shops are realized, the return rate of shopping personnel is greatly reduced, and the consumption experience of the shopping personnel is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of data analysis and processing, and relates to an online live shopping platform data analysis and processing method, system, equipment and computer storage medium. Background technique [0002] With the development of Internet of Things technology, traditional online shopping methods can no longer meet the needs of shoppers. Live shopping is currently the most popular online shopping method. Live streaming can gather a large number of people in a short time, and at the same time create a real-time The scene of online interaction realizes the experience of users watching and buying. However, due to the characteristics of live shopping, after-sales problems are more serious. In order to protect the consumption rights of shoppers, it is necessary to analyze and process the data of the live shopping platform. [0003] The existing live shopping platform data analysis and processing methods mainly focus on analy...

AI Technical Summary

Problems solved by technology

[0002] With the development of Internet of Things technology, traditional online shopping methods can no longer meet the needs of shoppers. Live shopping is currently the most popular online shopping method. Live streaming can gather a large number of people in a short time, and at the same time create a real-time The scene of online interaction realizes the experience of users watching and buying, but due to the characteristics of live shopping, after-sales problems are more serious. In order to protect the consumption rights of shoppers, it is necessary to analyze and process the data of the live shopping platform

[0003] The existing live shopping platform data analysis and processing methods mainly focus on analyzing the popularity and sales volume of each anchor on the platform, so as to facilitate the platform to push hot anchors. Currently, live shopping platform data is often mixed with a lot of untrue data. The existing data analysis and processing methods of the existing live shopping platform do not analyze this, and cannot truly guarantee the shopping experience and consumption rights of shoppers. On the one hand, the analysis content of the existing live broadcast shopping platform data is one-sided, and the authenticity of the analysis results cannot be guaranteed. On the one hand, it cannot provide accurate data reference for merchants joining the live broadcast industry. Effective management and control of live broadcast merchants

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