Application of Deep Learning Based Inventory Optimization and Intelligent Demand Prediction in E-commerce

With the booming development of e-commerce, enterprises are facing increasingly changing market environments, which have put forward higher requirements for inventory management and demand forecasting. Traditional methods have gradually shown limitations in dealing with these complex situations, thus requiring the introduction of more advanced technologies. This study is based on multi-layer feedforward neural networks in deep learning, aiming to improve inventory management efficiency, optimize inventory levels, and achieve intelligent demand prediction. Through experiments, it has been proven that the proposed method can effectively address inventory management and demand forecasting issues in the e-commerce environment, providing new ideas for improving enterprise operational efficiency and reducing costs.