2x
Increase in accuracy of insurance and claim generation.
Telematics based solution improved claim accuracy and slashed operational costs for a leading Scandinavian insurer.
Download the case studyIncrease in accuracy of insurance and claim generation.
Improvement in handling gigabytes of data per hour.
Reduction in operational costs.
A leading non-life insurer in Scandinavia, the company operates across Denmark, Sweden, and Norway, offering a wide range of insurance products for individuals and businesses.
With growing connectivity across fleets, the company sought to improve claims accuracy and reduce operational overhead by building a scalable, cloud-connected telematics platform.
Managing live telematics data, extracting relevant insights, and tracking vehicle behavior in real time created deep technical and operational challenges.
Capturing constant streams from thousands of sensors created bottlenecks in performance, data consistency, and accuracy.
Without processed context, raw sensor data made it difficult to extract patterns, identify risks, or improve claim precision.
Fleet managers lacked a way to track location, detect unauthorized use, or respond quickly to zone breaches in real time.
We built a cloud-native telematics platform to track driving behavior, deliver predictive alerts, and enable data-backed insurance decisions.
Processed live data from vehicles to surface potential driving risks and maintenance needs proactively.
Enabled long-term analysis by storing telemetry history to support safety checks, investigations, and claims decisions.
Delivered GPS-powered fleet visibility and real-time alerts when vehicles left assigned geofenced zones.
Designed the system to support large-scale data ingestion with consistent performance and minimal downtime.
The solution gave insurers greater control, lowered costs, and transformed how claims were verified and resolved.
Insurance teams saw a 2x improvement in claims accuracy using reliable, real-time driving data.
Achieved 100% improvement in managing gigabytes of telemetry data per hour with no latency or processing failures.
Smarter fleet tracking and predictive insights led to a 50% reduction in day-to-day fleet management expenses.
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