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.

Table of Contents:

Part 1 - Forecasting demand

1 Demand forecasting excellence

2 Introduction to demand forecasting

3 Capturing unconstrained demand (and not sales)

4 Collaboration: data sharing and planning alignment

5 Forecasting hierarchies

6 How long should the forecasting horizon be?

7 Should we reconcile forecasts to align supply chains?

Part 2 - Measuring forecasting quality

8 Forecasting metrics

9 Choosing the best forecasting KPI

10 What is a good forecast error?

11 Measuring forecasting accuracy on a product portfolio

Part 3 - Data-driven forecasting process

12 Forecast value added

13 What do you review? ABC XYZ segmentations and other methods

Part 4 - Forecasting methods

14 Statistical forecasting

15 Machine learning

16 Judgmental forecasting

17 Now it’s your turn!

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