About Client

The client is one of the largest insurance telematics
installation experts across passenger car, light commercial,
HGV and plant and agricultural equipment in the UK &
Ireland. They are the experts in telematics and in-vehicle tech
since the early stages of IoT.

Country UK
Industry BFSI

Business Requirement

  • Make data-driven business decisions with unused data captured by IoT devices installed in cars & trucks, compatible with telematic and other systems and hardware 
  • Create an efficient data capturing system to check if the driver is driving the vehicle up to the mark or not, which may lead to major accidents/death 
  • The data captured in the system to be efficient to track the driver’s performance by tracking real-time data parameters such as speed, power breaks, and more 
  • Overcome the lack of accuracy that existed in the current system which led the insurance companies being unable conclude who was at fault i.e., the driver or a third party and what has been damaged, settlement amount in case of generated claims and the derived premium cost for continued insurance of driver and vehicle 
  • Centralized data system from telematic and other devices/third-party providers to smartly utilize the data by applying the right business logics/calculations and drive the decisions 

Our Solution

  • A microservices-based architecture with the below-mentioned characteristics that helped to achieve non-functional requirements for scalability, high availability, fault tolerance, and self-healing: 
  1. Componentization via services                               
  2. Decentralized data management 
  3. Infra automation 
  4. Design for failure, and organized around business capabilities 
  • Manage activities like insurance premiums (vehicle and individual), claim verification & its approval, claim settlement amount, and more 
  • Data capture and application of the right set of business logics/calculations to fulfill the need of fleet managers and insurers 
  • System with a telematic device data source and other devices/third parties/manual inputs to capture the details of the incidents, journey tracking, location traceability of the vehicle/driver, details about vehicle make, model, the status of the engine, heading, and more as required. 

Tools & Technologies

  • Web Application (Frontend): React, TypeScript, HTML 5, SCSS 
  • Database: AWS RDS (PostgreSQL) 
  • Document Storage: S3 Bucket DynamoDB 
  • Microservices: AWS Lambda, JavaScript 
  • Data Streaming: AWS Kinesis Data Stream 
  • Testing: Jasmin, Jest, Postman, Jmeter, TestingWhiz

Business Outcomes

  • Claims authenticity increased by over 70%  
  • Increased accuracy in claims settlement amount 
  • Real-time vehicle monitoring 
  • Improvised driving skills of drivers based on data collected & analyzed 

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