Winter 2024-2025

Journal of Business Forecasting Volume 43 | Issue 4 | Winter 2024-2025

In this special issue, we dive into the real-world applications of AI in demand planning. In 2025, we are now seeing specific use cases across various aspects of the planning process, including machine learning for demand forecasting, AI-driven Forecast Value Added, and AI driven-lead time prediction. The lead article reveals the latest innovations in the space and how AI is transforming how we work as Planners. Highlights of this issue include a primer on getting started with AI and building the culture to support this new technology.

Featured Articles:

• Artificial Intelligence is Revolutionizing Demand Planning

  By Chaman L. Jain

• Are You Ready for AI Demand Forecasting? A Roadmap to Organizational Readiness

  By Hariharan Ganesan

• Getting Started with AI Forecasting & Demand Planning

  By Marcia Williams

• The Promise of Generative AI in Forecast Value Added Analysis

  By Robert Stevens

• Culture, Organization, Data & Technology: Becoming an AI-Driven Company

  By Vinit Sharma

• From Data to Decisions: CPG Demand Forecasting with ML

  By Jon Nichols

• Multi-Source Information & AI Algorithms for Lead Time Prediction

  By Ye Tian, ACPF

• Experts Discussion: Is AI in Planning More Than Just Hype?

  By

  • Jonathon Karelse
  • Patrick Bower
• US Growth to Remain Modest in 2025 Amid China’s Slowdown

  By Nur M. Onvural