AI is transforming supply chain management by predicting disruptions—like natural disasters, geopolitical events, or supplier shortages—before they occur. Companies now use machine learning models trained on weather, logistics, and financial data to run simulations of “what‑if” scenarios. By anticipating delays or demand shocks, businesses can reroute shipments, diversify suppliers, or adjust inventory levels proactively.
This post explores real‑world implementations by automotive and retail brands, and how digital twins and AI forecasting tools improve decision-making. It also examines challenges such as data quality, integration across legacy systems, and cross-company collaboration. For firms striving to stay profitable and agile, AI-powered supply chain resilience is becoming a competitive necessity.
