AI Supply Chain Optimization

Supply chains broke in 2020 and never fully un-broke. AI is part of the rebuild. The work applies machine learning and predictive analytics across the whole chain, from raw material sourcing through final delivery. You'll build and interpret demand forecasting models that account for seasonality, market trends, and the disruptions nobody saw coming, configure automated reorder point systems that balance carrying costs against stockout risk, implement supplier risk scoring that watches geopolitical, financial, and operational signals in real time, optimize logistics routes using AI that weighs fuel costs, traffic patterns, delivery windows, and vehicle capacity, and improve warehouse slotting and picking through AI-driven layout optimization. It applies to any business that moves physical goods. Small e-commerce operations and multinational manufacturers run the same playbook.