Emergency Parcel Movement and Structure Optimization of E-Commerce Logistics Network Parcel Based on LSTM Algorithm

This study is based on the e-commerce logistics network parcel emergency dispatch and structure optimization, which is an important task of digital commerce. By using the knowledge of operations research, customizing the routes according to the change of each day's cargo volume, and analyzing the transportation of each line of an e-commerce company in the past two years, we could predict the future volume of each line of the line of the line volume prediction model, while considering the impact of promotional activities, emergencies and so on. And network flow optimal solution is carried out. Finally, the characteristics of existing sites and routes, such as site transit volume, route transportation volume, and transportation frequency, were comprehensively evaluated, and the original model was optimized by adding new sites and routes and redistributing the cargo volume.