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Development of a Cross-Platform Carpooling Application with Advanced Matching Algorithm
  1. case
  2. Development of a Cross-Platform Carpooling Application with Advanced Matching Algorithm

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Development of a Cross-Platform Carpooling Application with Advanced Matching Algorithm

sysgears.com
Automotive
Environmental Services

Client Challenges

The client required a reliable development partner to create a carpooling app addressing market gaps, ensuring cost-effective cross-platform development, implementing a unique location-based matching algorithm, and delivering an intuitive user experience to attract investors and users.

About the Client

Startup focused on sustainable transportation solutions to reduce carbon emissions and promote cost-effective carpooling

Project Goals

  • Conduct market research to align the app with user needs and investor expectations
  • Develop a cross-platform mobile application (iOS/Android) with a unified codebase
  • Implement a proprietary algorithm for location-based trip matching
  • Design an intuitive UI/UX with seamless navigation and engaging animations
  • Ensure scalability and cost-efficiency for future growth

Core System Requirements

  • User registration and profile management
  • Trip posting with route details and schedules
  • Real-time location-based matching algorithm
  • Meeting point optimization for drivers and passengers
  • In-app payment system for cost-sharing
  • Push notifications via Firebase Cloud Messaging
  • Multi-language support (i18n)

Technology Stack

React Native
TypeScript
JavaScript
Scala
Play Framework 2
MongoDB
ReactiveMongo
MobX
AWS

Third-Party Integrations

  • Stripe Connect (payments)
  • Firebase Cloud Messaging (notifications)
  • React Native Maps (mapping)
  • AWS (cloud infrastructure)

Non-Functional Requirements

  • High scalability for future user growth
  • Low-latency matching algorithm performance
  • End-to-end data encryption for user security
  • Cross-platform consistency in UI/UX
  • Automated testing and CI/CD pipelines

Expected Business Impact

The application is projected to attract initial investment through a validated MVP, reduce development costs by 40% via cross-platform efficiency, and achieve rapid user adoption through its unique matching capabilities. Post-launch, the platform aims to expand its user base by 200% within the first year while contributing to measurable reductions in urban carbon emissions.

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