Four Pillars of Demand Planning Excellence
Outlines four pillars for improving demand planning accuracy: forecast modeling, demand aggregation, management by exception, and internal/external collaboration.
This white paper details how demand planning systems improve forecast accuracy and supply chain performance. It covers hybrid statistical modeling for new products and life cycle stages, demand sensing, promotional and seasonal adjustments, and multi-level aggregation hierarchies. The document emphasizes exception-based management and cross-functional collaboration to reduce inventory costs while increasing service levels.
Use hybrid statistical models that self-select best-fit profiles across product life cycles
Apply demand aggregation hierarchies to reconcile strategic and tactical forecasts
Implement management by exception to improve planner productivity and focus
Incorporate internal and external collaboration for more accurate demand signals
Leverage demand sensing and causal modeling to adjust for promotions and seasonality
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