Cross-network-platform cosmetic big data collection and analysis method and system

Abstract

The invention provides a cross-network-platform cosmetic big data collection and analysis method. The method comprises: a feature extraction step of extracting product features and / or logistics features of a user order; wherein the user clustering generation step is used for forming product feature big data and carrying out user clustering on users associated with user orders by utilizing the product feature big data, and the inventory optimization step is used for carrying out big data analysis according to the product feature big data and the user clustering and carrying out inventory optimization; wherein logistics feature big data is formed in the logistics feature clustering generation step, logistics feature clustering is carried out on logistics associated with the user order by utilizing the logistics feature big data, and automatic generation of a packaging scheme of the user order is realized in the packaging scheme generation step according to the logistics feature big dataand the logistics feature clustering. The invention provides a system of the method. According to the invention, adjustment and control are carried out in the front-end product online sales link according to the inventory and logistics condition of the background, and the inventory and logistics management of the background are analyzed and optimized according to the big data of the front end.

Description

technical field [0001] The invention relates to the technical field of big data collection and analysis, in particular to a cross-network platform cosmetic big data collection and analysis method and system. Background technique [0002] At present, various e-commerce platforms mainly engaged in cosmetics are becoming more and more popular among consumers due to their advantages such as affordable prices, convenient purchase and complete range of goods, and their shipments are increasing day by day. [0003] For the major e-commerce platforms, since the cosmetics sold are largely homogeneous in terms of category, quality and price, it is possible to provide users with unique products that meet their needs and preferences as much as possible on the front end. High-quality products and services, try to stimulate the purchasing power of consumers; realize high-efficiency cost control in the background, minimize inventory, improve logistics efficiency and reliability, and reduce...

AI Technical Summary

Problems solved by technology

However, in the prior art, the cross-platform integration of the front-end and back-end of the e-commerce platform has not been realized, that is, according to the back-end inventory and logistics status, the front-end product online sales link is regulated, and the back-end inventory is optimized according to the front-end big data analysis and logistics management

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