Multi-echelon supply chain optimization system integrating stochastic demand forecasting, global inventory control, and distribution planning under uncertainty — applied AI and operations research across a 3-echelon, 9-node, 1,000-SKU network with real-time decision support.
python machine-learning reinforcement-learning deep-learning simulation monte-carlo vrp logistics decision-support demand-forecasting stochastic-optimization inventory-optimization cvrptw supply-chain-optimization streamlit operation-research vehicle-routing multiechelon bullwhip-effect distribution-optimization
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Updated
Jun 16, 2026 - Jupyter Notebook