Introduction
Reliable demand forecasts enable organisations to balance customer expectations with inventory, production, and distribution requirements. Poor forecasting can create excess stock, product shortages, higher operating costs, and weakened service performance. Advanced planning practices help organisations respond more effectively to volatility and changing market demand.
Advanced Demand Planning & Forecasting for Supply Chain Optimization training course strengthens forecast accuracy, inventory performance, and integrated supply chain planning. It provides a structured approach to selecting forecasting methods, interpreting demand data, and improving the reliability of planning decisions. Participants learn how forecasting can support stronger operational control and business performance.
The course also examines how demand planning connects with inventory replenishment and Sales and Operations Planning. Participants explore performance measures, demand sensing, predictive analytics, and emerging AI capabilities that support continuous improvement. These insights enable organisations to build more responsive, resilient, and data-driven supply chains.
Key focus areas include:
- Advanced demand planning and forecasting methodologies
- Statistical forecasting models and predictive analytics techniques
- Inventory optimization and replenishment planning strategies
- Integration of forecasting with S&OP processes
- Forecast accuracy measurement and performance management
- AI-enabled forecasting and demand sensing capabilities