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Development of a Scalable Mobile Telematics SDK for Connected Insurance Applications
  1. case
  2. Development of a Scalable Mobile Telematics SDK for Connected Insurance Applications

Development of a Scalable Mobile Telematics SDK for Connected Insurance Applications

supercharge.io
Insurance
Telecommunications
Automotive
Financial services

Challenges Faced by Insurance Providers in Deploying Telematics Solutions

Insurance companies aiming to develop personalized, telematics-based insurance products face significant challenges in rapid application deployment, high maintenance costs, and scaling infrastructure to accommodate a growing global customer base. These difficulties hinder timely onboarding of new partners and limit the ability to offer innovative, data-driven insurance plans efficiently.

About the Client

A mid-to-large insurance provider seeking to enhance its telematics-driven insurance products through scalable and customizable mobile solutions.

Goals for a Scalable and Customizable Telematics Mobile Platform

  • Reduce onboarding time for new insurance partners by at least 50%.
  • Implement a shared codebase that lowers ongoing maintenance costs.
  • Achieve faster deployment cycles, targeting an average app release time between 3 to 4 weeks.
  • Enable the delivery of a customizable, white-label telematics SDK for rapid client-specific app development.
  • Support a global user base with scalable and maintainable technology infrastructure.

Core Functionalities for the Mobile Telematics SDK

  • Sensor Data Capture Module: Collects relevant smartphone sensor data for driver behavior analysis.
  • Driver Scoring System: Utilizes AI and machine learning algorithms to generate personalized driver scores based on driving habits.
  • Crash Detection Functionality: Detects vehicle collisions accurately to assist in post-accident procedures.
  • Customizable UI & Branding: Enables clients to tailor appearance and user experience within the SDK.
  • Rapid Deployment Framework: Provides predefined templates and configuration settings to accelerate integration and client onboarding.
  • Version Management & Updates: Facilitates streamlined rollouts of new features and SDK updates with minimal disruption.

Preferred Technologies and Architectural Approaches

Cross-platform mobile development frameworks (e.g., React Native, Flutter)
AI/ML integration for driver scoring and crash detection
Modular SDK architecture for flexible customization
Cloud-based backend services for scalability

External System Integrations

  • Device sensors and telematics data sources
  • Insurance policy management systems
  • AI/ML models for driver behavior analysis
  • Crash reporting and emergency response systems

Critical Non-Functional Requirements

  • Scalability to support over 2 million users globally
  • Fast SDK deployment cycles (target release in 3-4 weeks)
  • High security standards for sensitive telematics data
  • Reliability with minimal downtime and robust crash detection accuracy
  • Modular architecture to facilitate easy updates and client customization

Projected Business Impact of the Telemetics SDK Platform

The implementation of a scalable, easily customizable mobile telematics SDK is expected to significantly reduce partner onboarding time by at least 50%, lower maintenance costs through shared codebase management, and accelerate app deployment cycles to 3-4 weeks. This will enable the client to onboard more insurance partners worldwide, enhance the personalization of insurance offerings, and ultimately improve road safety and customer satisfaction across a broad user base.

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