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

by
Edition: 1st
Format: Hardcover
Pub. Date: 2021-08-03
Publisher(s): Wiley
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Summary

This book presents a new approach to forecasting for retailers and manufactures for demand planning that emphasizes why changing from a supply centric approach to a true demand (consumption—POS, syndicated scanner data) approach is required to be successful in the new digital economy. The current COVID-19 disruption has emphasized the need to change from tradition demand planning to consumption-based forecasting and planning with a renewed focus on the consumer, rather than only on supply.  It will showcase short-term and mid-term demand sensing, with a focus on the disruptions being caused by the digital economy, and COVID-19. This book:

  • Significantly helps improve demand forecasting and planning accuracy, which reduces the costs of finished goods inventories, out-of-stocks on shelf, waste, and working capital.  In turn it increases profit margins and revenue. 
  • Helps companies understand the short-term changes in consumer demand patterns as a result of the digital economy, and COVID-19.  Also, what is driving those changing consumer demand patterns (price, sales promotions, in-store merchandizing, epidemiological, economic and other related factors like unplanned events related to the pandemic crisis).
  • Addresses changes in people skills, processes, analytics, and technology.
  • Provides real case examples using real data, and how to apply advanced analytics and machine learning to solve current business problems.
  • Provides a framework for changing the way demand forecasting and planning are done, as well as the change management requirements for sustainability.

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

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