DEV CommunityTuesday · May 19, 2026FREE

Building an AI-Powered Supply Chain Platform with FastAPI, React Native, and Data Science

The platform combines React Native (Expo + TypeScript) with Zustand and TanStack Query for the mobile frontend, and FastAPI with MySQL, SQLAlchemy, Pandas, and Scikit-learn on the backend. It supports logistic features including route optimization, warehouse analytics, demand forecasting, anomaly detection, and shipment delay predictions. The backend follows a modular structure with models for shipments, warehouses, and drivers. The analytics layer provides shipment status analysis, delivery performance, and route analysis using Pandas. Large logistics datasets were seeded to train AI models. The project showcases a production-style architecture integrating mobile development, backend engineering, data analytics, and machine learning into a single system.