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Development of a White-Labeled Mobile SDK for Connected Insurance

supercharge.io

Insurance

Challenges with Rapid App Development and Scalability

National Insurance Group (NIG) is facing challenges related to the time and cost associated with developing and maintaining new mobile insurance applications for connected car programs. Each new partner or program requires significant custom development, leading to increased maintenance overhead, slower time-to-market, and higher development costs. The existing codebase is growing rapidly, making onboarding new partners complex and resource-intensive.

About the Client

A large, multinational insurance provider seeking to expand its offerings with personalized, data-driven insurance products. They aim to leverage telematics data to provide more accurate risk assessments and tailored insurance premiums.

Project Goals

Reduce mobile app onboarding time for new partners by 50%.
Lower ongoing maintenance costs for connected insurance applications by 40%.
Enable rapid deployment of new connected insurance programs within 3 months.
Provide a scalable and customizable platform for diverse driver behavior data integration.
Improve customer acquisition by offering personalized and competitive insurance rates.

Functional Requirements

Real-time driver data collection (speed, acceleration, braking, location).
Secure data transmission and storage.
Driver behavior scoring engine.
Premium calculation module based on driver score.
White-labeling capabilities to align with insurer branding.
API for integration with existing insurance systems (CRM, billing).
Crash detection and event reporting.

Preferred Technologies

React Native (for cross-platform development)

Node.js (for backend API)

AWS (for cloud infrastructure)

GraphQL (for data fetching)

Kotlin/Swift (for native module extensions)

Required Integrations

CRM system (e.g., Salesforce)
Billing system (e.g., AmDocs)
Existing insurance policy management systems
Third-party telematics data providers (if needed)

Key Non-Functional Requirements

High scalability to support a growing user base.
Robust security to protect sensitive driver data.
High performance and low latency.
Reliable data synchronization.
Compliance with relevant data privacy regulations (e.g., GDPR, CCPA).

Expected Business Impact

The implementation of this white-labeled SDK is expected to significantly improve NIG's operational efficiency, reduce time-to-market for new products, lower maintenance costs, and enhance customer satisfaction. By enabling personalized insurance offerings based on driver behavior, NIG can attract new customers, reduce risk exposure, and improve overall profitability. It will also allow NIG to remain competitive in the rapidly evolving connected insurance market.