Optimal demanding planning and forecasting in distribution-intensive industries is dependent on using the most appropriate forecasting models and methods that best serve the unique dynamics of the environment at a specific moment in time. This white paper outlines the top forecasting models and the specific forecasting requirements and supply chain scenarios that they are best suited for.

1. Best-fit statistical modeling
2. Derived modeling
3. Slow moving parts planning
4. Attribute-based modeling
5. Causal event planning
6. Life cycle planning modeling

Download now to learn what method is most appropriate for your organization's needs and how to leverage them all together to achieve optimal supply chain performance under variable-and dynamic-market conditions. Topics: Modeling and Visualization Supply Chain Management Supply Chain Optimization Enterprise Performance management Information lifecycle management