On-Demand Delivery Platform (4 Apps, Full Stack)

A logistics company wanted to build a multi-category on-demand delivery platform that could handle everything from parcels and groceries to pharmacy and retail orders. The app needed to serve both individual consumers and business clients, with real-time tracking, flexible delivery options, and a backend that could scale across multiple cities.

The core technical challenge was building a unified delivery engine that could route different order types through the same fleet while maintaining speed, accuracy, and cost efficiency.

I designed and developed a complete delivery ecosystem: four interconnected applications sharing a single backend.

Multi-category ordering (parcels, groceries, pharmacy, retail, documents)

Real-time order tracking with live courier GPS on map

Instant and scheduled delivery options

Smart delivery fee calculator based on distance, weight, and urgency

Multiple payment methods (cards, wallets, cash on delivery, corporate billing)

In-app chat and call with courier

Package size estimator with photo upload

Delivery proof with photo confirmation and e-signature

Referral program and loyalty rewards

Real-time delivery requests with batch order support

Optimized multi-stop route planning

Turn-by-turn navigation with traffic-aware routing

Earnings dashboard with tips, bonuses, and weekly payouts

Delivery proof capture (photo, signature, PIN verification)

Availability scheduling and zone preferences

Performance metrics and rating system

Order management with real-time status tracking

Inventory sync and catalog management

Delivery scheduling and bulk shipment tools

Analytics dashboard (order volume, delivery times, customer ratings)

API integration for e-commerce platforms

Fleet management with real-time courier tracking across all zones

Dynamic pricing and surge management

Automated dispatch engine with load balancing

Customer support tools with order intervention capabilities

City-level analytics and expansion planning tools

Frontend: React Native (cross-platform iOS & Android for customer and courier apps)

Backend: Node.js with microservices architecture for high-throughput order processing

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

Database: PostgreSQL for transactional data, Redis for caching and geospatial queries, MongoDB for catalog data

Real-time: WebSocket and MQTT for live tracking and order status streaming

Maps & Routing: Google Maps SDK with custom multi-stop route optimization

Payments: Stripe, local payment gateways, in-app wallet and corporate billing system

Monitoring: Datadog, CloudWatch, and PagerDuty for infrastructure monitoring and alerting

I led the full development lifecycle across all four applications: system architecture designed for high-volume daily deliveries, mobile UI/UX implementation, microservices backend, real-time tracking infrastructure, multi-stop routing engine, payment systems, merchant integrations, and App Store / Play Store deployment. I worked closely with the logistics team to optimize the dispatch algorithm for delivery density and courier utilization.

Built an automated dispatch engine that assigns deliveries in under 12 seconds on average

Designed microservices architecture handling hundreds of thousands of daily order events

Implemented real-time GPS tracking with WebSocket and MQTT, streaming courier positions to customers with sub-second latency

Built a multi-stop route optimization engine using Google Maps SDK with custom waypoint logic

Designed a dynamic pricing system that adjusts fees based on demand, distance, weight, and time of day

Achieved 99.98% uptime across core delivery infrastructure

Platform expanded to support 40+ cities with multi-category delivery