Book Excerpt

Consumption-Based Forecasting and Planning

Predicting Changing Demand Patterns in the New Digital Economy

Even as consumers exert unprecedented control of purchasing decisions, power is swinging back toward retailers and manufacturers, including consumer goods brands.

Innovative technologies, especially analytics, artificial intelligence and machine learning, are playing new and larger roles in the decision-making process.

As these technologies become more widespread, supply chains must evolve, which requires a renewed focus on predicting changing consumer demand patterns.

In his latest must-read book, industry thought leader Charles Chase explains in detail how analytics, AI and machine learning can supercharge your forecasting, demand planning and supply chain capabilities.

Read Chapter 1 for free today!

Topics include:

  • Disruptions driving complex consumer dynamics.
  • How the digital economy is affecting retail, manufacturing and consumer brands.
  • Developments in the complex digital supply chain network.
  • Why brands of all sizes must shift to a consumer-centric approach.
  • Differences between predictive and anticipatory analytics.
  • What automated consumer engagement means for the future.

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About the Author


Charles Chase
Advisory Industry Consultant, SAS

Charles Chase is a thought leader and trusted adviser for delivering analytics-driven solutions to improve SAS customers’ supply chain efficiencies. He has more than 20 years of experience in the consumer-packaged goods industry and is an expert in demand forecasting and planning, market response modeling, econometrics and supply chain management.

Chase is the author of three books, including Next-Generation Demand Management: People, Process, Analytics and Technology and Demand-Driven Forecasting: A Structured Approach to Forecasting. He also co-authored the book Bricks Matter: The Role of Supply Chains in Building Market-Driven Differentiation.

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