Supply chain multidimensional demand forecasting and inventory optimization model combining LSTM and convolutional neural network
To solve the problem that traditional forecasting models are difficult to effectively capture multi-dimensional spatiotemporal features and long-term dependencies, which leads to high inventory costs, this paper aims to develop an intelligent hybrid model (BO-CNN-LSTM) that fuses Bayesian optimization (BO), convolution...