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AI in Demand Forecasting: Overview, Use Cases, and Benefits

· Source: oracle.com

In short

This article explores the application of AI in demand forecasting, highlighting how machine learning and predictive analytics improve forecast accuracy by analyzing diverse internal and external data. It details benefits such as real-time insights, improved planning, and inventory optimization across industries including supply chain, manufacturing, retail, healthcare, and automotive. Practical steps for implementing AI-powered demand forecasting and considerations for accuracy are also discussed.

Read Original Article — Read the full article on the publisher’s site.

In the issue of week 51, 2025: Agentic AI and Orchestration Drive 67% Supply Chain Cost Cuts

Tags: forecasting, supply chain, automation, analytics, machine learning, inventory

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