Demand Planning & Forecasting.

Westernacher Consulting improves demand forecast accuracy by 20–40% through the implementation of statistical forecasting models, demand sensing technologies, collaborative planning processes, and specialized forecasting methods for new product introductions and promotional demand.
Our demand planning approach combines quantitative statistical methods with qualitative business intelligence to optimize the balance between inventory investment and customer service levels across the supply chain.

Our Demand Planning Expertise:

  • Statistical Forecasting: Leverage of the 60+ IBP algorithms and machine learning for baseline forecasts
  • Demand Sensing: Improve short-term accuracy using recent sales signals and POS data
  • Collaborative Planning: Engage sales, marketing, and customers in forecast enrichment process
  • Segmentation Strategies: Apply ABC/XYZ and other segmentation for differentiated approaches
  • Time series Analysis: historical analysis of sales history for better forecasting modeling assignment
  • New Product Forecasting: Specialized methods for product introductions and launches
  • Promotion Planning: Model promotional effects and event-driven demand patterns

Demand Planning Capabilities:

  • SAP IBP Demand module for comprehensive forecasting
  • Statistical forecasting with machine learning capabilities
  • Real-time demand sensing with POS data (like Alloy.ai data) or external factors integration
  • Collaborative planning portals for stakeholder input

Typical Results:

  • 10-40% forecast accuracy improvement
  • Reduced forecast bias and systematic errors
  • Improved collaboration and forecast consensus
  • Faster forecast cycle time with less manual effort
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