Spring 2025

Journal of Business Forecasting Volume 44 | Issue 1 | Spring 2025

In this issue we dive into real-world applications of AI, making it sure it adds value by making its outputs explainable to key stakeholders. The lead article includes a practical framework to explain different AI models. This issue also includes a vision of the world where global supply chains break down and we retreat into regional trading blocs. It is an invaluable resource to help manage supply chains in a world impacted by US tariffs. Other highlights include technical approaches to machine learning and how to manage Gen Z's in planning.

Featured Articles:

• Making AI Explainable in Demand Forecasting: Why It Matters More Than Ever

  By Hariharan Ganesan

• Consensus is Futile: Demand Planners Must Take Control of the Planning Process

  By Patrick Bower

• Machine Learning in Demand Forecasting: Embracing Technological Advancements for Predictive Accuracy

  By Charles Chase

• Strategic Planning for Global Supply Chains in a Fragmented World

  By Larry Lapide

• How to Manage Gen Z’s in Supply Chain– By a Gen Z

  By Zachary Fisher

• Managing Sell-In and Sell-Out for Effective S&OP

  By Éder Frois

• Adding Hierarchical Time Series Forecasting to Machine Learning in the Cyber Security Industry

  By Manisha Lal

• Uncertainty Looms Over U.S. Economic Outlook as Tariffs Take Effect

  By Nur M. Onvural