Intelligent e-commerce page stock-out management method and system based on machine learning

Abstract

The invention relates to the technical field of machine learning, and discloses a management method for automatically deducing, tracking processing and replenishing the shortage reason of an e-commerce page, which realizes eliminating the shortage to the maximum extent through an algorithm model. The invention is characterized in that the deep neural network model and the method of the continuousevolution mechanism are applied to the e-commerce industry, comprising the following steps of: acquiring and processing multi-source heterogeneous data; Pattern Analysis and Reasoning Based on NeuralNetwork; Automatic workflow task assignment; Multidimensional data analysis; Knowledge management and model evolution. The invention extracts mode codes based on commodity page status, inventory, order, logistics, personnel and other information; the algorithm model automatically recognizes and deduces the code. Establish workflow for stock-out events based on results and knowledge base; the forecasting model can generate shortage warning and trigger replenishment event. The invention effectively processes the shortage of e-commerce pages, has high accuracy of analysis and inference, monitorsunknown shortage reasons, and realizes the transformation from post-processing to pre-prevention.

Description

technical field [0001] The present invention relates to the technical field of machine learning, and more specifically, to a machine learning-based smart e-commerce page out-of-stock management method and system. Background technique [0002] With the rapid development of e-commerce in China, the transaction scale of China's e-commerce retail market has already reached trillions, ranking first in the world in 2015. The rapid expansion of online shopping users has laid a good user base for the development of the online shopping market, releasing huge market potential. At the same time, it also puts forward higher requirements and challenges for the operational capabilities of e-commerce. Out-of-stock on the e-commerce page refers to the fact that the purchase page of the product indicates that it is out of stock, including out-of-stock of product categories, regional out-of-stock, general out-of-stock and off-shelf status, etc., when consumers cannot make purchases. Out-of-...

AI Technical Summary

Problems solved by technology

However, the physical flow and information flow chains of modern e-commerce supply chains are becoming more and more complex, and the reasons for page out-of-stocks are complex and changeable due to the involvemen

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