We built an on-demand food delivery platform with React Native for iOS and Android, powered by a Python backend (FastAPI services with Django-based admin). Customers can browse restaurants, customize dishes, track orders in real time, and rate experiences—while restaurants and riders manage menus, orders, and routes from a scalable control panel.
The mobile client uses an advanced React Native architecture with feature modules, deep-link support, and smooth micro-interactions. On the backend, Python services orchestrate restaurant menus, surge pricing, delivery slots, and routing. Event-driven updates (WebSockets/Server-Sent Events) keep order states and rider locations in sync across all devices.
The brand moved from phone and aggregator-only orders to a first-party on-demand experience, with higher margins, more data ownership, and stronger loyalty.
Before the app, restaurants and customers dealt with:
We delivered a Python-powered food delivery stack:
The food delivery app now:
The platform combines a modern React Native client with a Python-based backend, structured as microservices with event-driven communication and strong observability.
WebSocket/SSE-based updates for “order placed → accepted → prepared → picked up → delivered” with live rider map and ETA adjustments.
Python services calculate delivery fees and surges based on distance, time of day, demand, and capacity, with override rules for campaigns.
Time-based menus (breakfast/lunch/dinner), out-of-stock controls, and restaurant schedules managed centrally via Django admin.
Dockerized services, environment-based configs, automated tests, and monitoring dashboards for APIs, jobs, and mobile clients.
The platform is designed to scale horizontally via containers/orchestrators and to support future features like ML-based ETA, demand forecasting, and personalized recommendations.
