Logistics Demand Forecast of Fresh Food E-Commerce Based on Bi-LSTM Model

Fresh products have the characteristics of perishable, small batch and high frequency. Therefore, for fresh food e-commerce enterprises, market demand forecasting is particularly important. This paper takes sales data a enterprise as logistics demand, analyzes influence time meteorological factors on extracts characteristic with greater influence, proposes forecast scheme based Bi-LSTM model. The compared other schemes BP neural network LSTM models. experimental results show that model has good prediction performance problem prediction. facilitates further research some supply chain issues, such business decision-making, inventory control, capacity planning.