Fresh e-commerce commodity quality intelligent monitoring and management method based on multi-dimensional feature data analysis

Abstract

The invention discloses a fresh e-commerce commodity quality intelligent monitoring and management method based on multi-dimensional feature data analysis, and the method comprises the steps: carrying out the surface quality detection of all commodities corresponding to the types of fresh commodities in the inventory of a fresh e-commerce enterprise, and reserving the fresh commodities according with the sales quality types; and then carrying out current freshness grade analysis on all commodities meeting the sales quality category under each fresh commodity category, and analyzing the current sales popularity grade corresponding to each fresh commodity category, therefore, according to the current sales popularity level, commodities corresponding to various freshness levels conforming to the sales quality type under the fresh commodity type are priced in a targeted manner. In the process of realizing multi-dimensional monitoring of the quality of the fresh goods, the processing of the goods of various freshness levels conforming to the sales quality category in the inventory of the fresh e-commerce enterprise is realized, on one hand, the inventory management cost of the fresh e-commerce enterprise is reduced, and on the other hand, the sales income of the fresh e-commerce enterprise is increased.

Description

technical field [0001] The invention belongs to the technical field of quality monitoring of fresh food e-commerce commodities, and in particular relates to an intelligent monitoring and management method for the quality of fresh food e-commerce commodities based on multi-dimensional feature data analysis. Background technique [0002] With the improvement of people's living standards, people's demand for fresh products is increasing, such as fruits, vegetables, etc. At the same time, with the rise of e-commerce, people's consumption patterns have changed. In order to meet people's growing demand for fresh products With the increasing demand and the changing status of people's consumption patterns, fresh food e-commerce was born. Its appearance makes people's purchase of fresh products not limited by time and space, which greatly facilitates people's purchase of fresh products , favored by more and more consumers. [0003] However, as we all know, fresh products are perisha...

AI Technical Summary

Problems solved by technology

[0003] However, as we all know, fresh products are perishable and difficult to preserve. When not stored properly, quality problems of fresh products are very likely to occur, such as mildew, damage, rot, etc.

If the quality inspection of fresh products is not carried out and fresh products with quality problems are allowed to be sold, it will not only pose a threat to the health of consumers, but also affect the reputation of the fresh food e-commerce enterprise.

Therefore, fresh food e-commerce companies need to conduct quality inspections on the fresh products in stock in real time, select fresh products with quality problems, and keep products without quality defects. The corresponding storage time and storage condition control are different, and the corresponding freshness may be different. If some fresh products with poor freshness are discarded, it will inevitably cause waste of fresh products and cause fresh food e-commerce enterprises to lose their warehouses. Seriously, and then increase the inventory cost. If the original sales price continues to be sold, due to people's requirements for the freshness of fresh products, the sales volume may decrease and the sales revenue will be affected.

Images