Consumption-Based Forecasting and Planning Predicting Changing Demand Patterns in the New Digital Economy

by Chase, Charles W.

• ISBN13: 9781119809869
• ISBN10: 111980986X
• eBook ISBN(s): 9781119809876
• Edition: 1st
• Format: Hardcover
• Copyright: 2021-08-03
• Publisher: Wiley
• More Book Details
• Purchase Benefits

Summary

Discover a new, demand-centric framework for forecasting and demand planning

In Consumption-Based Forecasting and Planning, thought leader and forecasting expert  Charles W. Chase delivers a practical and novel approach to retail and consumer goods companies demand planning process. The author demonstrates why a demand-centric approach relying on point-of-sale and syndicated scanner data is necessary for success in the new digital economy.

The book showcases short- and mid-term demand sensing and focuses on disruptions to the marketplace caused by the digital economy and COVID-19. You’ll also learn:

• How to improve demand forecasting and planning accuracy, reduce inventory costs, and minimize waste and stock-outs
• What is driving shifting consumer demand patterns, including factors like price, promotions, in-store merchandising, and unplanned and unexpected events
• How to apply analytics and machine learning to your forecasting challenges using proven approaches and tactics described throughout the book via several case studies.   

Perfect for executives, directors, and managers at retailers, consumer products companies, and other manufacturers, Consumption-Based Forecasting and Planning will also earn a place in the libraries of sales, marketing, supply chain, and finance professionals seeking to sharpen their understanding of how to predict future consumer demand.

Author Biography

CHARLES W. CHASE is an Executive Industry Consultant at SAS. He is responsible for delivering demand planning and forecasting solutions to improve supply chain efficiencies for SAS customers. He is the former president of the International Association of Business Forecasting and currently writes a quarterly column in the Journal of Business Forecasting.

Table of Contents

Foreword

Preface

Acknowledgments

About the Author

Chapter 1: The Digital Economy and Unexpected Disruptions

Chapter 2: A Wakeup Call for Demand Management

Chapter 3: Why Data and Analytics Are Important

Chapter 4: Consumption-Based Forecasting and Planning

Chapter 5: AI/Machine Learning Is Disrupting Demand Forecasting

Chapter 6: Intelligent Automation Is Disrupting Demand Planning

Chapter 7: The Future Is Cloud Analytics and Analytics at the Edge

Index