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Development of Gamified Telematics Car Insurance Platform with SDK Integration and User Engagement Features
  1. case
  2. Development of Gamified Telematics Car Insurance Platform with SDK Integration and User Engagement Features

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Development of Gamified Telematics Car Insurance Platform with SDK Integration and User Engagement Features

supercharge.io
Insurance
Financial services

Challenges in Implementing Data-Driven Insurance Models

Insurers face technical and engagement challenges when implementing shared value insurance models, including establishing robust data collection infrastructure for driving behavior tracking and maintaining continuous user motivation to foster safer driving habits through personalized incentives.

About the Client

South African financial services leader seeking to implement a shared value insurance model through behavioral data analysis

Key Goals for Insurance Platform Development

  • Develop and integrate a customizable SDK for telematics data collection from mobile devices and vehicle sensors
  • Create native iOS and Android applications with seamless user experience
  • Implement gamification features to enhance driver engagement and safety
  • Establish secure data flow between tracking systems and insurance platforms
  • Enable smooth migration of 40K+ users from legacy systems

Core Platform Capabilities

  • Telematics data collection via mobile sensors and in-car devices
  • Gamified reward system with progress tracking
  • Trip safety scoring and detailed analytics dashboard
  • User profile management with personalized insurance offers
  • Cross-platform SDK integration for multiple insurer deployments

Technology Stack Requirements

Kotlin Multiplatform for SDK development
Swift for iOS applications
Kotlin for Android applications
Cloud-based data processing architecture

System Integration Needs

  • Legacy insurance systems
  • Third-party telematics sensors
  • Analytics and reporting platforms
  • Payment and rewards management systems

Operational Requirements

  • High-volume data processing scalability
  • GDPR-compliant data security measures
  • Real-time data processing performance
  • 99.9% system uptime reliability

Expected Business Outcomes

Implementation of this platform is projected to reduce insurance risk profiles by 25-30% through behavior-based pricing, increase customer retention by 40% via gamified engagement, and enable scalable deployment across multiple insurer partners while maintaining seamless user experience during system transitions.

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