State Farm Mutual Automobile Insurance had six patents in social media during Q2 2024. State Farm Mutual Automobile Insurance Co filed patents in Q2 2024 for utilizing cognitive computing to improve targeted commercial communications, generating virtual synthetic representatives based on personal data, creating personalized virtual content for users of virtual experience systems, and generating efficient iterative electronic recommendation structures based on ratings vectors and similarity pairing values. 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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State Farm Mutual Automobile Insurance had no grants in social media as a theme in Q2 2024.
Recent Patents
Application: Using cognitive computing to provide targeted offers for preferred products to a user via a mobile device (Patent ID: US20240169399A1)
State Farm Mutual Automobile Insurance Co. has filed a patent that utilizes cognitive computing to enhance commercial communications between vendors and users. The techniques involve monitoring a user's financial accounts and location to determine proximity to a vendor, allowing for targeted commercial communications based on the user's shopping profile. This shopping profile is generated using a machine learning model trained on consumer characteristics and shopping habits, identifying the user's preferred merchant and product. The system receives location data from the user's device, determines if it is within a geofence of the preferred merchant, selects a communication associated with the preferred product, and transmits it to the user's device.
The patent also covers aspects such as receiving financial transaction information from institutions, user input via a client application, customization of the user shopping profile, and the selection of communications based on predicted life events. The system can track user characteristics from various data sources like social media, web browsing habits, retailer data, income levels, assets, and mortgage information. Additionally, the communication transmitted to the user's device may include offers of reward points, pricing information for product bundles, or reminders based on the user's financial account activity. Overall, the patent outlines a comprehensive system that leverages machine learning and location data to optimize commercial communications tailored to individual user preferences and habits.
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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.
