AI/ML Capabilities Bring Better Signals, Models, and Collaboration to Demand Forecasting
· Source: supplychainbrain.com
In short
The article discusses how AI and ML technologies are transforming demand forecasting by improving signal detection, model adaptability, and cross-departmental collaboration. It highlights challenges like model drift and tariff impacts, showcasing real-world examples from retail and CPG industries. Adaptive AI solutions are presented as critical for maintaining accuracy in volatile markets.
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In the issue of week 32, 2025: AI-Driven Supply Chains Forge Resilience Amid Geopolitical and Security Risks
Tags: forecasting, AI, logistics, retail, collaboration, models