Demand Forecasting Best Practices

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 SupChains, which builds demand forecasting and inventory planning models, and a teacher at CentraleSupélec, Albert School and Mines Paris - PSL.