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Development of Enhanced Taxi Driver App with Real-Time Data and Smart Mapping Features
  1. case
  2. Development of Enhanced Taxi Driver App with Real-Time Data and Smart Mapping Features

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Development of Enhanced Taxi Driver App with Real-Time Data and Smart Mapping Features

nix-united.com
Automotive
Logistics
GPS

Business Challenges

The client faced challenges in motivating drivers, improving user experience, and accelerating feature releases to compete with market leaders. Existing systems lacked real-time data integration, route optimization, and scalable architecture for rapid development.

About the Client

A global taxi aggregator with over a million users across two mobile applications, seeking to outperform market leaders by enhancing driver experience and operational efficiency.

Project Goals

  • Develop a dedicated Android app for drivers to enhance route quality and capture road data
  • Integrate real-time maps with dynamic route sharing between drivers and passengers
  • Implement a driver incentive system based on performance and data contribution
  • Refactor the existing app to enable scalable, modular development and A/B testing
  • Reduce app size and improve stability through dynamic feature delivery

Core Functional Requirements

  • Android app for road data capture (GPS, video recording, and server upload)
  • Real-time traffic-informed route options
  • Shared route visibility between driver and passenger
  • Priority order allocation for high-performing drivers
  • Dynamic feature toggling based on location/company

Technology Stack

Kotlin
Java
C++
Crashlytics

System Integrations

  • GPS APIs
  • Server-side data processing systems
  • A/B testing frameworks

Non-Functional Requirements

  • Scalable multimodule architecture for 10+ developers
  • Sub-200ms latency for route updates
  • 99.99% uptime for critical features
  • Dynamic module installation/removal without app restart

Expected Business Impact

The enhanced app will position the client as a market leader by improving driver retention through real-time incentives, reducing passenger wait times via optimized routing, and enabling rapid feature deployment across 1M+ users in major cities.

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