Research on Forecasting the Lifetime Value of Major Goods Owners in Railway Freigjt Traffic

Forecasting the lifetime value (LTV) of major goods owners is an essential link in railway freight traffic marketing. Key variables affecting the LTV of major goods owners are determined by the sensitivity analysis method. The BP artificial neural network is constructed on the basis of these key variables to forecast the LTV of major goods owners in the future. Actual data are given to verify the effectiveness of the BP neural network.