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Overview
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Lead your demand planning process to excellence and deliver real value to your supply chain.
In Demand Forecasting Best Practices you’ll learn how to:
Lead your team to improve quality while reducing workload
Properly define the objectives and granularity of your demand planning
Use intelligent KPIs to track accuracy and bias
Identify areas for process improvement
Help planners and stakeholders add value
Determine relevant data to collect and how best to collect it
Utilize different statistical and machine learning models
An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. Demand Forecasting Best Practices teaches you how to become that virtuoso demand forecaster.
This one-of-a-kind guide reveals forecasting tools, metrics, models, and stakeholder management techniques for delivering more effective supply chains. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput’s original five step framework for demand planning excellence and learn how to tailor it to your own company’s needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You’ll soon be delivering accurate predictions that are driving major business value.
About the Technology An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. This book teaches you how to become that virtuoso demand forecaster.
About the Book Demand Forecasting Best Practices reveals forecasting tools, metrics, models, and stakeholder management techniques for managing your demand planning process efficiently and effectively. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput’s original five step framework for demand planning excellence and learn how to tailor it to your own company’s needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You’ll soon be delivering accurate predictions that are driving major business value.
What's Inside
Enhance forecasting quality while reducing team workload
Utilize intelligent KPIs to track accuracy and bias
Identify process areas for improvement
Assist stakeholders in sales, marketing, and finance
Optimize statistical and machine learning models
About the Reader For demand planners, sales and operations managers, supply chain leaders, and data scientists.
About the Author Nicolas Vandeput is a supply chain data scientist, the founder of consultancy company SupChains in 2016, and a teacher at CentraleSupélec, France.
Quotes This new book continues to push the FVA mindset, illustrating practices that drive the efficiency and effectiveness of the business forecasting process. - Michael Gilliland, Editor-in-Chief, Foresight: Journal of Applied Forecasting
A must-read for any SCM professional, data scientist, or business owner. It's practical, accessible, and packed with valuable insights. - Edouard Thieuleux, Founder of AbcSupplyChain
An exceptional resource that covers everything from basic forecasting principles to advanced forecasting techniques using artificial intelligence and machine learning. The writing style is engaging, making complex concepts accessible to both beginners and experts. - Daniel Stanton, Mr. Supply Chain®
Nicolas did it again! Demand Forecasting Best Practices provides practical and actionable advice for improving the demand planning process. - Professor Spyros Makridakis, The Makridakis Open Forecasting Center, Institute For the Future (IFF), University of Nicosia
This book is now my companion on all of our planning and forecasting projects. A perfect foundation for implementation and also to recommend process improvements. - Werner Nindl, Chief Architect – CPM Practice Director, Pivotal Drive
This author understands the nuances of forecasting, and is able to explain them well. - Burhan Ul Haq, Director of Products, Enablers
Both broader and deeper than I expected. - Maxim Volgin, Quantitative Marketing Manager, KLM
Great book with actionable insights. - Simon Tschöke, Head of Research, German Edge Cloud
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