Technological Exploration and Case Analysis of Using SAP IBP's Demand Sensing and Statistical Model for Demand Forecasting, Inventory Reduction, and Supply Chain Improvement

This paper explores the innovative use of SAP Integrated Business Planning (IBP)'s demand sensing and statistical model to enhance demand forecasting accuracy, reduce inventory levels, and improve the overall efficiency of the supply chain. Through a real-world case study, we demonstrate the effectiveness of this approach and provide quantitative data, visualizations, and tables to support our findings. The proposed method shows significant potential in revolutionizing traditional supply chain management practices.