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.
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:
- Componentization via services
- Decentralized data management
- Infra automation
- 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