Gaari - Case Study
The Problem
Building Bangladesh's first comprehensive car rental and travel platform required solving multiple complex challenges simultaneously. The platform needed to handle three distinct service types (Car Rental, Travel Packages, Activities) with different booking parameters, pricing models, and availability constraints. The core challenge was creating a unified booking system that could manage real-time availability across hundreds of vehicles and services while preventing double bookings during high-traffic periods. Additionally, the system needed to support dynamic pricing algorithms that adjust based on demand, duration, and seasonality—all while maintaining sub-second response times for search queries. Payment integration presented another layer of complexity, requiring seamless integration with both Stripe (international) and Bkash (local) payment gateways, each with different webhook structures and security requirements. The geographic services component needed to support 500+ landmarks and provide route optimization for travel planning.
Key Challenges:
- •Complex booking system with multiple service types (Car Rental, Travel Packages, Activities)
- •Advanced search functionality with multiple filters (location, date, time, car type)
- •Dynamic pricing algorithms based on demand and duration
- •Real-time availability management across multiple services
- •Payment gateway integration (Stripe & Bkash) with webhook handling
- •Geographic services with 500+ landmarks and route optimization
- •Building intuitive UI for complex booking flows
The Solution
I architected a unified booking engine using Next.js 14's App Router with Server Components for optimal performance. The solution involved three core layers: **State Management Layer**: Created a centralized booking state manager using React Context API and custom hooks that handles multi-step booking flows, cross-service availability checks, and real-time price calculations. **Real-Time Availability Layer**: Implemented Supabase Realtime subscriptions with PostgreSQL triggers to maintain live availability counts. The system uses optimistic UI updates with backend confirmation to handle race conditions when multiple users book simultaneously. **Dynamic Pricing Engine**: Built a server-side pricing calculator that considers base rates, duration multipliers, seasonal demand factors, promotional discounts, and last-minute booking premiums. All calculations are cached in Redis for performance. For payment integration, I created a unified abstraction layer that handles both Stripe and Bkash webhooks with idempotency checks to prevent duplicate charges. The geographic services component uses geocoding APIs with route optimization algorithms.
Technologies Used
Results & Impact
Successfully launched Gaari with a production-ready booking system that handles multiple service types seamlessly. The platform now processes bookings efficiently with real-time availability management and supports dynamic pricing that adapts to market conditions. The unified payment system processes transactions through both international and local gateways without friction.
Key Improvements:
- ✓Achieved 98/100 Lighthouse performance score through strategic optimization
- ✓Built scalable architecture supporting concurrent bookings without conflicts
- ✓Implemented real-time availability management with Supabase Realtime
- ✓Created unified payment abstraction supporting multiple gateways
- ✓Optimized search queries to sub-second response times
Lessons Learned
- 💡Complex booking flows benefit significantly from centralized state management
- 💡Supabase Realtime makes live updates seamless but requires careful conflict resolution
- 💡Abstracting payment logic allows easy addition of new payment gateways
- 💡Performance optimization from the start prevents technical debt accumulation
- 💡Multi-step flows with clear progress indicators significantly reduce abandonment rates
- 💡Redis caching is essential for dynamic pricing calculations at scale
- 💡Geographic services require careful API rate limit management
Before & After
Before
Complex booking system with multiple service types (Car Rental, Travel Packages, Activities) Advanced search functionality with multiple filters (location, date, time, car type) Dynamic pricing algorithms based on demand and duration Real-time availability management across multiple services Payment gateway integration (Stripe & Bkash) with webhook handling Geographic services with 500+ landmarks and route optimization Building intuitive UI for complex booking flows
After
Built scalable booking engine with state management Implemented dynamic pricing with Redis caching Used Supabase Realtime for live updates Integrated multiple payment gateways with webhook handling Created geocoding system with route optimization