Usage-Based Auto Insurance Quotes From Tracked Driving Data

The patent introduces telematics devices and mobile applications as intermediary components between the customer and the insurance company. These intermediaries automatically collect usage data (mileage, driving behavior, location) and transmit it to the insurance company, eliminating the need for manual self-reporting while providing objective, accurate risk assessment data without requiring complex infrastructure changes at the customer end.

The patent replaces the mechanical/manual system of self-reported data collection with automated electronic data collection through telematics devices and mobile applications. This substitution uses sensors, GPS, and communication modules to automatically capture and transmit usage data, significantly improving measurement precision while the complexity is managed through software-based solutions rather than complex hardware infrastructure.

The patent applies the extraction principle by isolating and focusing on specific, relevant usage data elements (mileage, driving behavior patterns, location information) that directly impact risk assessment. Rather than processing all possible data, the system extracts only the most pertinent metrics needed for accurate policy quoting. This reduces data processing complexity while maintaining high quote accuracy by concentrating on key risk indicators.

The patent implements local quality by applying different levels of data collection and processing to different aspects of usage data. Not all data points are treated equally - the system identifies and prioritizes specific data elements (such as harsh braking events, speeding incidents, nighttime driving) that have higher local quality or greater impact on risk assessment. This selective approach improves policy quote accuracy while managing processing complexity by focusing computational resources on the most significant data elements.