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Develop Cloud-Native Telematics Platform for Enhanced Claim Accuracy and Operational Efficiency

simform.com

Insurance

Financial services

Challenges with Real-time Telematics Data Management and Claims Processing

The client faces significant challenges in managing large volumes of live telematics data from connected vehicles, extracting actionable insights, and accurately assessing claims based on driving behavior. Current processes struggle with data ingestion bottlenecks, limited visibility into driving patterns, and inefficient fleet monitoring, resulting in increased operational costs and inaccurate claim settlements.

About the Client

A leading non-life insurance provider operating across Denmark, Sweden, and Norway, offering a wide range of insurance products for individuals and businesses. Focus is on fleet insurance.

Project Goals

Improve claim accuracy by 2x through real-time driving data analysis.
Reduce operational costs associated with fleet management by 50%.
Increase the efficiency of data processing by enabling the management of 100% more gigabytes of telemetry data per hour without latency.
Enhance fleet monitoring and oversight with real-time location tracking and alerts.
Enable data-backed insurance decisions through historical telemetry data storage and analysis.

Functional Requirements

Real-time vehicle behavior analysis (speed, acceleration, braking, location).
Historical telemetry data storage and retrieval for claims investigations and safety checks.
Geofencing and real-time alerts for unauthorized vehicle movement or zone breaches.
Predictive alerts for potential maintenance needs.
Claim processing workflow integration with telematics data.
Reporting and analytics dashboards for fleet managers and insurance teams.

Preferred Technologies

Cloud-native architecture (AWS, Azure, or GCP).

Scalable data ingestion pipeline (Kafka, Kinesis).

Real-time data processing engine (Spark Streaming, Flink).

Cloud-based data storage (S3, Azure Blob Storage, Google Cloud Storage).

GIS and mapping technologies for location-based services.

Required Integrations

Insurance claim management system.
Fleet management systems.
Vehicle telematics device APIs.

Non-Functional Requirements

High scalability to handle increasing data volumes and user traffic.
Low latency for real-time data processing and alerting.
High availability and fault tolerance.
Robust security measures to protect sensitive data.
Data privacy compliance (GDPR, etc.).

Expected Business Impact

Successful implementation of the telematics platform is expected to result in a 2x improvement in claim accuracy, a 50% reduction in fleet management costs, enhanced operational efficiency, improved risk management, and a more data-driven approach to insurance underwriting and claims processing.