AI-Driven Demand Forecasting: What to Expect in the Near Future

This IDC Perspective examines how AI is transforming demand forecasting from model-driven processes to platforms that incorporate planner input, behavioral data, and agent-based execution. Many organizations continue to rely on manual intervention due to limitations in traditional planning systems and data models. This document outlines how CIOs can address these challenges by focusing on data readiness, selecting platforms with embedded AI capabilities, and adopting phased, outcome-driven implementation approaches."AI-driven demand forecasting is not just about improving models; it is about enabling organizations to translate insights into action through integrated planning and execution," says John Bermudez, adjunct research advisor for IDC's IT Executive Programs (IEP).