SupplyIQ

SupplyIQ is an AI-powered supply chain risk and decision intelligence platform that combines data engineering, analytics, machine learning, and generative AI to turn raw supply-chain transactions into prioritized business decisions. It simulates a mid-size distribution business with 120 SKUs, 22 warehouses, 60 suppliers, and 3 years of data, and answers four management questions: what is happening, why, what will happen next, and what to do about it. The system uses a layered pipeline: raw data is validated and cleaned into warehouse tables, then analyzed with SQL, ML models (forecasting, stockout risk, supplier risk, anomaly detection), a risk engine that generates root-cause explanations, a recommendation engine, a business-impact calculator, and a grounded AI analyst. It is surfaced through a FastAPI backend, a Streamlit app, and a Power BI dashboard. The project is fully synthetic but simulated, not randomly generated, with deliberately injected events to validate detection. It includes 22 SQL analytics queries, ML models with documented validation, a 14-rule data-quality engine, and 34 tests. The AI analyst retrieves computed context and is instructed to say 'insufficient evidence' rather than invent numbers.