Pet Insurance Premium Rating Using Tracker-Based Risk Data
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Solution Overview
Problem
Pet insurance in the United States is underutilized due to a lack of reliable data and advanced actuarial models, leading to inflated premiums and a cumbersome enrollment process, which deters pet owners from obtaining coverage.
Innovation Solution
A system and method that utilizes pet monitoring data from sensors to individualize insurance premiums, integrating pet tracking devices to collect data on location, activity, and environmental conditions, which is then used to refine actuarial models and adjust premiums accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pet insurance providers rely on basic owner-provided data for rating, then the enrollment process is simple, but the data accuracy and reliability are insufficient leading to inflated premiums
Solution Approach 1:
The system collects pet monitoring data from sensors (GPS, accelerometers, temperature sensors) before the insurance rating process to pre-verify the pet's actual conditions, location history, and environmental exposures. This preliminary data collection enables accurate risk assessment without requiring complex verification during enrollment.
Solution Approach 2:
The patent introduces a third-party data verification system that acts as an intermediary between the pet owner and insurance provider. This intermediary automatically collects and validates pet data through sensors and monitoring devices, eliminating the need for owners to manually provide and verify information, thus improving data accuracy without increasing system complexity for users.
2Reliability
If pet insurance premiums are inflated to protect against uncertainty, then the insurance provider's financial security is improved, but the accessibility and affordability for pet owners deteriorates
Solution Approach 1:
The system implements continuous feedback loops where pet monitoring data is constantly collected and used to adjust risk assessments and premium calculations in real-time. Pets that maintain healthy behaviors and avoid high-risk situations receive premium reductions, while those needing improvement see targeted feedback. This creates a dynamic pricing model that accurately reflects actual risk levels rather than using inflated static premiums.
Solution Approach 2:
The patent changes the pricing parameters from static, population-based risk factors to dynamic, individualized parameters based on actual pet behavior data collected from sensors. This includes tracking exercise levels, location patterns, environmental exposures, and health metrics to calculate personalized premiums that accurately reflect each pet's actual risk profile, making insurance affordable for low-risk pets while maintaining provider security.
3Measurement precision
If comprehensive pet monitoring data is collected, then the actuarial model accuracy is improved, but the data processing complexity and costs increase
Solution Approach 1:
The system segments pet monitoring data into distinct categories (location data from GPS, activity data from accelerometers, environmental data from temperature sensors, health data from veterinary records) and processes each segment through specialized algorithms. This segmentation allows parallel processing of different data types, improving overall processing efficiency while maintaining comprehensive data analysis for accurate actuarial modeling.
Solution Approach 2:
The patent creates simplified digital representations (copies) of complex pet behavior patterns through machine learning models that process sensor data. Instead of analyzing raw sensor streams directly, the system generates condensed behavioral profiles and risk scores that capture essential patterns, dramatically reducing processing complexity while preserving the accuracy needed for actuarial calculations.
Data Source
AI summary
Systems and methods for pet insurance enrollment, adjustment, and utilization are provided herein. In some embodiments, one or more pet insurance offerings and a pet insurance enrollment process are available to a user through a mobile application on a mobile computing device. In some embodiments, a preliminary premium rate is calculated based on background information provided by a user through the mobile application. In some embodiments, a pet tracker forms a portion of the system, and an adjusted premium rate can be calculated based on pet monitoring data received directly or indirectly from the pet tracker. In some embodiments, pet monitoring data acquired from a plurality of pet trackers are used to develop, inform, and refine one or more pet insurance actuarial models.