<span>Lead your demand planning process to excellence and deliver real value to your supply chain.</span><span><br><br>In </span><span>Demand Forecasting Best Practices</span><span> you’ll learn how to:<br> <br> </span><ul><li><span><span>Lead your team to improve quality while reducing workload</span></span></li><li><span><span>Properly define the objectives and granularity of your demand planning</span></span></li><li><span><span>Use intelligent KPIs to track accuracy and bias</span></span></li><li><span><span>Identify areas for process improvement</span></span></li><li><span><span>Help planners and stakeholders add value</span></span></li><li><span><span>Determine relevant data to collect and how best to collect it</span></span></li><li><span><span>Utilize different statistical and machine learning models</span></span></li></ul><span> <br>An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. </span><span>Demand Forecasting Best Practices</span><span> teaches you how to become that virtuoso demand forecaster.<br> <br> 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.<br> <br> Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.<br> <br> About the Technology<br> 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.<br> <br> About the Book<br> </span><span>Demand Forecasting Best Practices</span><span> 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.<br> <br> What's Inside<br><br> </span><ul><li><span><span>Enhance forecasting quality while reducing team workload</span></span></li><li><span><span>Utilize intelligent KPIs to track accuracy and bias</span></span></li><li><span><span>Identify process areas for improvement</span></span></li><li><span><span>Assist stakeholders in sales, marketing, and finance</span></span></li><li><span><span>Optimize statistical and machine learning models</span></span></li></ul><span> <br> <br>About the Reader<br> For demand planners, sales and operations managers, supply chain leaders, and data scientists.<br> <br> About the Author<br> </span><span>Nicolas Vandeput</span><span> is a supply chain data scientist, the founder of consultancy company SupChains in 2016, and a teacher at CentraleSupélec, France.<br> <br> </span><span>Table of Contents:</span><span><br> <br> Part 1 - Forecasting demand<br> 1 Demand forecasting excellence<br> 2 Introduction to demand forecasting<br> 3 Capturing unconstrained demand (and not sales)<br> 4 Collaboration: data sharing and planning alignment<br> 5 Forecasting hierarchies<br> 6 How long should the forecasting horizon be?<br> 7 Should we reconcile forecasts to align supply chains?<br> Part 2 - Measuring forecasting quality<br> 8 Forecasting metrics<br> 9 Choosing the best forecasting KPI<br> 10 What is a good forecast error?<br> 11 Measuring forecasting accuracy on a product portfolio<br> Part 3 - Data-driven forecasting process<br> 12 Forecast value added<br> 13 What do you review? ABC XYZ segmentations and other methods<br> Part 4 - Forecasting methods<br> 14 Statistical forecasting<br> 15 Machine learning<br> 16 Judgmental forecasting<br> 17 Now it’s your turn!</span>