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Nicolas, a recognized expert in the field with over 39,000 followers on LinkedIn, shares his expertise on various critical aspects of demand planning, including:

Nicolas provides valuable insights into data gathering, connecting the dots, and the integration of machine learning with human expertise. He also discusses the concept of moving averages and explains why accuracy alone isn't a reliable measure of success in demand planning.

Tune in to gain actionable knowledge from one of the leading minds in supply chain management!

What is demand planning in supply chain management?
How does demand planning improve supply chain efficiency?
What are the key components of a demand planning process?
What challenges are commonly faced in demand planning?
How can businesses address demand planning challenges effectively?
What role does data play in demand planning?
Which types of data are essential for accurate demand forecasting?
How does machine learning enhance demand planning?
Why is human expertise still crucial in demand planning alongside AI?
What is the importance of moving averages in demand forecasting?
How can companies reduce forecast errors in demand planning?
What are the best practices for gathering data in demand planning?
How do you connect the dots between data points in demand planning?
Why isn't accuracy alone a sufficient measure of demand planning success?
What are the key metrics to evaluate demand planning effectiveness?
How can businesses reduce inventory levels while improving demand accuracy?
What are the benefits of combining machine learning with human insights in demand planning?
How can companies shift from Excel-based demand planning to more advanced tools?
What steps can be taken to avoid shortages and dead stock in demand planning?
How does Nicolas Vandeput help businesses improve their demand planning processes?


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