Mobile Ecosystems · Food & Beverage

Restaurant 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
Sector
Food & Beverage
Scope
Mobile Ecosystems
Timeline
9 months
The challenge

What we had to solve

The solution

What we built

Used by 15M users with 60% order increase and 45% engagement improvement

  1. Before: Handling millions of concurrent users

    After: Implemented scalable backend infrastructure

  2. Before: Real-time order tracking

    After: Built real-time tracking using WebSocket

  3. Before: AI-powered recommendations at scale

    After: Developed efficient recommendation engine

  4. Before: Offline functionality

    After: Created offline-first architecture

  5. Before: Multi-language and multi-currency support

    After: Designed internationalization framework

Also in the build

  • 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 worked

The stack behind it

Delivered over 9 months.

Technologies

React Native · TypeScript · Node.js · Express · PostgreSQL · MongoDB · Redis · AWS (S3, CloudFront, Lambda) · Firebase · Google Maps API · Stripe · Twilio · TensorFlow Lite · Docker · Kubernetes

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