Food Delivery App with Real-Time Order Tracking

A food-tech company wanted to build a next-generation food delivery platform that could scale to millions of daily orders across multiple cities. The app needed to handle three user types (customers, restaurant partners, and delivery riders) with real-time coordination between all three. Speed, reliability, and a seamless ordering experience were non-negotiable.

The technical challenge was massive: real-time GPS tracking, dynamic pricing, intelligent order routing, and a backend that could handle extreme traffic spikes during peak meal hours.

We designed and developed a full-scale food delivery ecosystem for iOS and Android, covering the customer app, restaurant dashboard, and rider app.

Restaurant discovery with cuisine filters, ratings, dietary tags, and distance sorting

Real-time order tracking with live GPS map showing rider location

Smart search with AI-powered restaurant and dish recommendations

Scheduled orders and repeat order shortcuts

Multiple payment methods (cards, wallets, cash on delivery, promo codes)

In-app chat and call with delivery rider

Order history with one-tap reorder

Ratings and reviews for restaurants and riders

Push notifications for order status, deals, and personalized offers

Order management with accept/reject flow and prep time estimates

Menu management with real-time availability toggling

Analytics dashboard (revenue, order volume, ratings, peak hours)

Promotional tools for featured listings and discounts

Real-time order assignment with route optimization

Turn-by-turn navigation integration

Earnings dashboard with daily/weekly breakdowns

Availability toggle and shift scheduling

Frontend: React Native (cross-platform iOS & Android for all 3 apps)

Backend: Node.js with microservices architecture for high throughput

Cloud Infrastructure: AWS (EC2, ECS, S3, CloudFront, SQS, Lambda, ElastiCache)

Database: PostgreSQL for transactional data, Redis for caching and session management, Elasticsearch for search

Real-Time: WebSocket and MQTT for live order tracking and rider location updates

Maps & Routing: Google Maps SDK with custom route optimization algorithms

Payments: Stripe, local payment gateway integrations, wallet system

Monitoring: Datadog and CloudWatch for performance monitoring and alerting

I led the full development lifecycle across all three applications: system architecture designed for millions of concurrent users, mobile UI/UX implementation, microservices backend development, real-time tracking infrastructure, payment systems, search and recommendation engine, and App Store/Play Store deployment. I worked closely with the operations team to optimize delivery routing algorithms and reduce average delivery times.

100,000,000+ users on the platform

$2 billion+ in total transactions processed

Successfully launched on both App Store and Google Play

Sub-second order routing to nearest available rider

99.99% uptime during peak traffic periods

Average delivery time reduced by 22% through route optimization

Scaled to handle 500,000+ concurrent orders during peak hours