FoodieApp MobileRestaurant Discovery & Ordering App
A comprehensive mobile app for restaurant discovery, ordering, and delivery used by 15 million food lovers. Features include restaurant search with filters, menu browsing, online ordering, real-time order tracking, payment processing, and reviews. The app uses AI to personalize restaurant recommendations based on user preferences and location. Our solution increased restaurant orders by 60% and user engagement by 45%.
- Client
- FoodieTech Mobile
- Location
- Los Angeles, USA & London, UK
- Duration
- 9 months
- Investment
- $340K
Key Achievement
Used by 15M users with 60% order increase and 45% engagement improvement
Key Features
12- Restaurant search and discovery
- AI-powered personalized recommendations
- Menu browsing with high-quality images
- Online ordering and payment
- Real-time order tracking
- Restaurant reviews and ratings
- Loyalty program integration
- Favorite restaurants list
- Order history
- Push notifications
- Multi-language support
- Offline menu browsing
How We Built It
07- System Architecture
- React Native mobile app with Node.js backend, microservices architecture, real-time order tracking, and AI recommendation engine.
- Database Architecture
- PostgreSQL for transactional data, MongoDB for user preferences, Redis for caching, local storage for offline data.
- Infrastructure
- AWS deployment with CloudFront CDN, RDS PostgreSQL, ElastiCache Redis, S3 for media, and CloudWatch for monitoring.
- Scalability
- Horizontal scaling with Kubernetes, CDN for content delivery, and efficient caching strategies.
- Security & Compliance
- End-to-end encryption
- Secure payment processing
- Biometric authentication
- Regular security audits
- GDPR compliant
- Performance Metrics
- 15M+ active users
- 60% increase in orders
- 45% improvement in engagement
- Sub-2s app load time
- 99.9% uptime
- Real-time order tracking
- API Integrations
- Restaurant APIs
- Payment gateway APIs
- Google Maps API
- Push notification APIs
- Analytics APIs
Technical Challenges & Solutions
05Challenge 1
Handling millions of concurrent users
Solution:
Implemented scalable backend infrastructure
Challenge 2
Real-time order tracking
Solution:
Built real-time tracking using WebSocket
Challenge 3
AI-powered recommendations at scale
Solution:
Developed efficient recommendation engine
Challenge 4
Offline functionality
Solution:
Created offline-first architecture
Challenge 5
Multi-language and multi-currency support
Solution:
Designed internationalization framework
Let’s Build Something
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