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Demand Forecasting Best Practices is a handbook of techniques for effective demand planning for products of all types. You will learn how to optimise your data, metrics, processes, models, and even people to make better decisions and deliver value to your supply chains. Discover pro tips from author Nicolas Vandeput's global career in supply chain consultancy and dodge the common mistakes you might not know you are making. Illustrations, clear explanations, and relevant real-world examples make each concept easy to understand and easy to follow.
About the reader For anyone who wants to improve their demand planning process, including demand planners, S&OP managers, supply chain leaders, and data scientists.
About the author
Nicolas Vandeput is a supply chain data scientist specialising in demand forecasting and inventory optimisation. He founded his consultancy company SupChains in 2016, delivering models and training courses worldwide. He co-founded SKU Science a demand forecasting platform in 2018. Passionate about education, Nicolas is an avid learner enjoying teaching at universities. He currently teaches forecasting and inventory optimisation to Master's students in Centralesupélec, Paris, France.
Summary
Demand Forecasting Best Practices is a unique step-by-step guide, ideal for demand planners, S&OP managers, supply chain leaders and data scientists, demonstrating forecasting tools, metrics, and models alongside stakeholder management techniques that work in a live business environment.
