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Development of a Cross-Platform Ride-Hailing Application with White Label Customization
  1. case
  2. Development of a Cross-Platform Ride-Hailing Application with White Label Customization

Development of a Cross-Platform Ride-Hailing Application with White Label Customization

artkai.io
Transport
Logistics
Ride-sharing

Identified Challenges in the Passenger Transportation Market

The client’s legacy transportation management app struggled to compete with market leaders, lacking modern features, seamless user experience, and market adaptability. They required a mobile solution capable of rapid deployment, customization for multiple brands, and compliance with app store standards to sustain market relevance and growth opportunities.

About the Client

A mid-sized fleet management software provider aiming to expand into passenger ride-hailing services with a flexible, customizable mobile app platform.

Goals for Developing a Next-Generation Ride-Hailing App

  • Develop a modern, reliable, and visually appealing cross-platform mobile application for passengers to request rides efficiently.
  • Create a white label architecture enabling clients to customize branding, feature sets, and settings to specific passenger needs.
  • Implement features facilitating flexible ride options, including vehicle preferences, scheduled pickups, multiple stops, and various payment methods.
  • Incorporate safety and communication features such as an emergency SOS button, real-time ride tracking, driver ratings, and reviews.
  • Ensure the app supports rapid deployment and compliance with app store requirements across multiple client deployments to enhance user acquisition and retention.
  • Enable additional revenue streams by allowing software licensing to other fleet operators.

Core Functional Requirements for the Ride-Hailing System

  • Customizable ride settings: vehicle type, pickup time, additional stops, and payment options.
  • Flexible ride requirements: non-smoking, child-friendly, pet-friendly options.
  • Preliminary fare estimation based on pickup and drop-off locations.
  • Quick access to recent locations and ride history.
  • Scheduled rides and ride-sharing features for group travel.
  • Emergency SOS button prominently accessible during rides.
  • Driver rating and review system for passenger feedback.
  • Seamless integration with various payment methods.

Technology Stack and Architectural Preferences

TypeScript
Angular
NGRX/RXJS
Ionic Framework
AWS Cloud Infrastructure
Kubernetes (K8s)
PostgreSQL
REST APIs
Swagger for API documentation
Socket.io
GraphQL
Microservices architecture

External Systems and Integration Needs

  • Payment gateways for multiple payment options
  • Real-time location and ride tracking services
  • Emergency services system for SOS feature
  • Driver and passenger management systems
  • Third-party mapping and routing APIs

Non-Functional System Requirements

  • High scalability to support multiple client deployments and concurrent users
  • Robust security protocols to protect user data and payment information
  • Performance metrics ensuring ride request response times under 2 seconds
  • Reliability with 99.9% uptime and fault tolerance
  • Compliance with app store submission standards across platforms

Expected Business Impact and Value Proposition

The developed ride-hailing application aims to significantly enhance market competitiveness by providing a sleek, feature-rich platform that supports rapid deployment across multiple brands. The solution is expected to increase user acquisition and retention, expand revenue streams through software licensing, and improve overall customer satisfaction with safety, convenience, and customizable features. These improvements are projected to elevate market share and position the client as a leading alternative in the passenger transportation industry.

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