JD.com's Y Business Unit: AI-Driven Supply Chain Optimization and Sales Prediction

This article discusses JD.com's Y Business Unit's AI-driven supply chain optimization, focusing on sales prediction algorithms, inventory control, and the challenges of predicting new product sales. It highlights the evolution from manual inventory management to data-driven systems, the development of core prediction technologies, and the innovative approaches used to handle SKU characteristics, promotional factors, and computational efficiency. The article also addresses the challenges of new product sales prediction and the broader impact of AI on JD.com's supply chain and retail strategy.