State Farm Mutual Automobile Insurance has patented a computer-implemented method for evaluating and gamifying property maintenance. The system uses machine learning to generate a home score based on home data and provides recommendations for home modifications based on hazard data. The method also includes training the evaluation model for accuracy. GlobalData’s report on State Farm Mutual Automobile Insurance gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on State Farm Mutual Automobile Insurance, Digital lending was a key innovation area identified from patents. State Farm Mutual Automobile Insurance's grant share as of May 2024 was 66%. Grant share is based on the ratio of number of grants to total number of patents.
Property maintenance evaluation and recommendation system using machine learning
A recently granted patent (Publication Number: US12002108B2) discloses a computer-implemented method for evaluating and gamifying maintenance for a property by a user. The method involves retrieving home data for a property, determining home score factors using machine learning models, generating a home score, identifying similar properties, retrieving hazard data, and providing home modification recommendations based on the data. The method also includes training the machine learning models based on user feedback to ensure accurate representation of the property.
Furthermore, the patent includes claims for a computing device and a tangible, non-transitory computer-readable medium that store instructions for implementing the method. The device and medium facilitate the evaluation and gamification of property maintenance by retrieving data, generating home scores, providing modification recommendations, and training machine learning models. The system allows users to receive recommendations based on hazard data and past modifications, ultimately enhancing property maintenance and safety. The equal weighting of home score factors and the inclusion of various hazard scores contribute to a comprehensive evaluation process for property maintenance.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
