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Digital Transformation of Vehicle Claims and Maintenance Management Platform
  1. case
  2. Digital Transformation of Vehicle Claims and Maintenance Management Platform

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Digital Transformation of Vehicle Claims and Maintenance Management Platform

ventionteams.com
Automotive
Information technology
Insurance

Challenges in Traditional Claims Management

Manual and paper-based processes for vehicle damage claims and maintenance management led to operational inefficiencies, missed appointments, prolonged repair times, and poor visibility across stakeholders.

About the Client

SaaS platform provider for fleet management and vehicle claims automation

Digital Transformation Goals

  • Digitize and automate end-to-end claims and maintenance workflows
  • Scale platform capabilities to support rapid user growth
  • Enhance system functionality for improved stakeholder collaboration
  • Optimize user experience for drivers, fleet managers, and service partners

Core System Capabilities

  • Image upload functionality for damage documentation
  • Automated insurance company notifications
  • AI-powered car damage detection integration
  • Real-time claims status tracking dashboard
  • Maintenance scheduling automation
  • Multi-party communication interface

Technology Stack Requirements

Node.js
Nest.js
React
TypeScript
PostgreSQL
TypeORM
GraphQL
Azure

System Integration Needs

  • Insurance company systems
  • AI damage detection API
  • Vehicle telematics systems
  • Payment processing gateways

Operational Requirements

  • High scalability for growing vehicle fleet (8,000+ vehicles)
  • Reduced release cycle time for rapid feature deployment
  • Enterprise-grade data security for sensitive claims information
  • Cross-platform compatibility across devices

Business Impact Projections

Enable efficient management of 8,000+ vehicles and tens of thousands of claims annually, reduce repair cycle times by 30-40%, improve customer satisfaction through transparent processes, and support 200% YoY user growth while maintaining system reliability.

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