This repository is a curated portfolio of my end-to-end supply chain, analytics, and planning projects.
End-to-end planning system including:
- Segmentation → Identify critical products using ABC, Pareto, and ABC–XYZ
- Demand Planning → Forecast demand and validate accuracy
- Inventory Planning → Inventory models and evaluate inventory behavior and health
- Replenishment Policy → Define EOQ, ROP, (Q,R), (s,S), (R,S), and Newsvendor policies
- S&OP Scenarios → Test upside/downside demand scenarios vs capacity
- Bottlenecks / Exceptions → Identify operational and service-level risks
🔗 Live Demo: https://supply-chain-planning-optimization.streamlit.app/
- Built an interactive inventory planning and simulation web app using Python and Streamlit.
- Simulates fixed-cycle replenishment under deterministic and stochastic demand.
- Compares simple vs lead-time-aware ordering to highlight timing-driven stockouts.
- Includes Monte Carlo analysis, safety stock & ROP guidance, and ABC/XYZ profit segmentation.
- Visualises Demand, Orders, and Inventory on Hand with planner KPIs.
- Built an interactive Excel dashboard analyzing supply chain KPIs.
- Used pivot tables, slicers, charts, and advanced Excel formulas.
- Based on the DataCoSupplyChain dataset.
More projects coming soon.