Inventory Control Example Algorithm Based on Neural Network and Newsboy Model

Based on the traditional two-step method to solve the inventory control model, this paper uses the BP neural network method to further improve the prediction accuracy for the first step of demand forecasting, so as to improve the accuracy of the calculation of the optimal inventory quantity in the second step. Finally, Company F is taken as an example to verify the effectiveness and practicability of the model.