eBook

Five Steps to Ensure Collaborative VMI Success

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Estimating future demand forecast accuracy is crucial for success yet frustratingly difficult without the proper demand planning software. No other aspect of supply chain optimization has a greater impact on business profitability, yet it’s easy to blame a “bad” forecast for poor performance. Providing the best one number forecast requires software that captures data close to its source and accurately predicts actual demand with enough lead time and confidence. Today companies achieve higher supply chain performance with insightful demand planning software.

This paper outlines four key elements that support effective demand planning and establish fundamental parameters for higher service levels and lower inventory cost. These are the pillars on which competitive advantage and profitability are built:

  • Forecast modeling
  • Demand aggregation (and disaggregation)
  • Management by exception
  • Collaboration between internal and external supply chain stakeholders

MORE ABOUT THIS WHITE PAPER:

WHO SHOULD READ THIS WHITE PAPER?

Business and demand planners, and others interested in moving past simple, or traditional forecasting methods. This eBook highlights how effective demand planning establishes fundamental parameters for higher service levels and lower inventory cost.

WHAT CONCEPTS ARE COVERED IN THIS WHITE PAPER?

This whitepaper covers concepts within the pillars of demand planning excellence like advanced demand planning, new product introductions, demand sensing, demand hierarchy, demand aggregation and disaggregation, and S&OP input. 

WHY THIS WHITE PAPER IS A MUST READ FOR SUPPLY CHAIN ORGANIZATIONS

Companies that want to be able to adjust quickly and confidently to their ever-changing supply chain need the best “one number forecast”. This requires capturing demand signal close to its source to accurately predict demand with ample lead time. This whitepaper provides valuable information for just that: four pillars of more effective demand planning.