It’s like giving every truck in a fleet a smart fitness tracker. Instead of guessing risk from age or ZIP code, the insurer watches how each truck is actually driven—speeding, hard brakes, routes, and mileage—and then prices insurance based on real behavior, not rough averages.
Traditional commercial auto insurance prices risk using blunt instruments (vehicle type, historical losses, broad territory) and reacts slowly to changes in driving behavior. A smarter usage-based program lets insurers and fleets use real-time telematics and behavioral data to more accurately price risk, reduce claims, and reward safer driving while controlling loss ratios.
Integration depth with commercial fleet telematics and ELD data sources, proprietary risk-scoring models calibrated on historical loss data, and embedded workflows for underwriters and fleet managers that make the platform sticky.
Classical-ML (Scikit/XGBoost)
Feature Store
High (Custom Models/Infra)
High-volume time-series telematics ingestion, feature engineering at scale, and real-time scoring latency for pricing/alerts.
Early Majority
Focus on commercial fleets, deeper integration with ELD/telematics data, and insurance-specific risk scoring tuned to usage-based pricing rather than generic fleet management analytics.