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Demand Forecasting Best Practices
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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 workloadProperly define the objectives and granularity of your demand planningUse intelligent KPIs to track accuracy and biasIdentify areas for process improvementHelp planners and stakeholders add valueDetermine relevant data to collect and how best to collect itUtilize different statistical and machine learning modelsAn 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 TechnologyAn 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 BookDemand 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 InsideEnhance forecasting quality while reducing team workloadUtilize intelligent KPIs to track accuracy and biasIdentify process areas for improvementAssist stakeholders in sales, marketing, and financeOptimize statistical and machine learning modelsAbout the ReaderFor demand planners, sales and operations managers, supply chain leaders, and data scientists.About the AuthorNicolas Vandeput is a supply chain data scientist, the founder of consultancy company SupChains in 2016, and a teacher at CentraleSupélec, France.Table of Contents:Part 1 - Forecasting demand1 Demand forecasting excellence2 Introduction to demand forecasting3 Capturing unconstrained demand (and not sales)4 Collaboration: data sharing and planning alignment5 Forecasting hierarchies6 How long should the forecasting horizon be?7 Should we reconcile forecasts to align supply chains?Part 2 - Measuring forecasting quality8 Forecasting metrics9 Choosing the best forecasting KPI10 What is a good forecast error?11 Measuring forecasting accuracy on a product portfolioPart 3 - Data-driven forecasting process12 Forecast value added13 What do you review? ABC XYZ segmentations and other methodsPart 4 - Forecasting methods14 Statistical forecasting15 Machine learning16 Judgmental forecasting17 Now it’s your turn!
| Publisher | Manning |
| Publication date | June 13, 2023 |
| Language | English |
| Print length | 216 pages |
| ISBN-10 | 1633438090 |
| ISBN-13 | 978-1633438095 |
| Item Weight | 12.8 ounces (362.88 grams) |
| Dimensions | 7.38 x 0.5 x 9.25 inches (18.7 x 1.3 x 23.5 cm) |
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Demand Forecasting Best Practices
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