Microservices-based backend for independent scaling of order, inventory, and delivery modules.
Separate services for customer app, vendor dashboard, and delivery rider app.
Load-balanced API gateway to handle high concurrent order volume.
Key APIs you'll need:Inventory Sync API: real-time stock updates across dark stores.
Order Management API: handles order creation, status updates, cancellations.
Payment Gateway API: supports UPI, cards, wallets with retry logic.
Geolocation API: for live tracking and delivery radius validation.
Notification API: push/SMS alerts for order status changes.
Real-time delivery logic:WebSocket connections for live rider location updates.
Rider allocation algorithm based on proximity, current load, and delivery zone.
Dynamic ETA calculation using distance + traffic data + rider speed averages.
Auto-reassignment logic if a rider is delayed or unavailable.
Database considerations:Use a combination of relational DB (orders, users) and NoSQL (real-time inventory, location logs) for performance.
Implement caching (Redis) for frequently accessed data like product catalogs.
Scalability tips:Horizontal scaling for order and inventory services during peak hours.
Queue-based processing (Kafka/RabbitMQ) for order events to avoid bottlenecks.
CDN for static assets to reduce app load time.
Security essentials:Token-based authentication (JWT) for all API calls.
Rate limiting to prevent abuse during flash sales.
Encrypted payment data handling, PCI-DSS compliance.
Conclusion: Architecting this from scratch is a solid learning project, but for production-ready deployment, a pre-built solution can save significant dev time. This Zepto clone script comes with much of this architecture already implemented, which can be a useful reference or starting base for developers building in this space.
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