Research on Freight Volume Prediction of Express Transportation Based on BP Neural Network + Time Series

Based on the two tasks of emergency parcel dispatch and optimization of logistics structure of e-commerce network, this paper analyzes and predicts the daily cargo volume of each line in 2023 according to the data of each line, and displays the forecast results of three lines with images. The prediction model of line cargo volume was established to predict the daily cargo volume of each line during 2023-01-01 to 2023-01-31, and the prediction results of three lines were given. According to the given data, data cleaning was carried out, and some extreme data were removed through outlier processing. After that, we established a time series prediction model based on BP neural network to predict the historical data of each line. Meanwhile, we also established a gray prediction model for comparative analysis, determined the optimal fitting model, and got the final target prediction results.