SupplyChain Nexus — Real-Time Supply Chain Intelligence Platform

SupplyChain Nexus | Supply Chain Simulation & Intelligence Engine

Problem: Businesses need to understand how supplier delays, demand fluctuations, inventory shortages, and transportation disruptions affect fulfillment and operating costs.

Proposed Solution: Develop a supply chain intelligence platform that models relationships between suppliers, warehouses, products, and shipments, then simulates operational changes and estimates their impact.

Core Features:

• Supplier, product, warehouse, and shipment data management.
• Inventory movement ledger and stock reconciliation.
• Demand forecasting using historical and synthetic datasets.
• Reorder-point calculations and stockout risk alerts.
• Event-driven shipment and inventory updates.
• What-if simulations for supplier delays and demand spikes.
• Optimization recommendations for replenishment and stock allocation.
• Data validation, scheduled processing, and reproducible test scenarios.

Technology Stack: Python, FastAPI, React, TypeScript, PostgreSQL, Redis, Apache Kafka, Pandas, scikit-learn, Docker, GitHub Actions.

Engineering Focus: Data pipelines, forecasting, event-driven architecture, optimization, simulation, and integration testing.

Role: Full-Stack Software Engineer | Independent Project