State Farm Mutual Automobile Insurance had 47 patents in ecommerce during Q3 2023. State Farm Mutual Automobile Insurance Co has filed patents related to customer information retrieval at retail locations using mobile devices, presenting extended reality (XR) environments and receiving user preferences, generating and managing usage-based insurance contracts, processing vehicle-related insurance claims using XR devices, and presenting virtual reconstructions of damage-causing events in XR environments for insurance purposes. These patents aim to improve customer service, streamline insurance processes, and enhance user experiences through technology. GlobalData’s report on State Farm Mutual Automobile Insurance gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

State Farm Mutual Automobile Insurance grant share with ecommerce as a theme is 49% in Q3 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Systems and methods for using hardware transmitters to improve customer service (Patent ID: US20230274327A1)

The present disclosure is about a computer-implemented method and system for automatically determining customer information when a customer's mobile device is detected at a retail location. The method involves the customer's mobile device detecting a communication from a wireless communication beacon and sending a customer ID to a backend server. The backend server then accesses customer information from a database using the customer ID and transmits it to a server at the retail location. The server causes the customer's mobile device in the retail location to display the customer information, facilitating efficient customer service. With the customer's permission, the customer information can be pushed to a salesperson's device or relevant information such as insurance quotes, claim information, new vehicle financing, features, reviews, or other product or service information can be pushed to the customer's mobile device.

The claims describe various aspects of the computer-implemented method and system. Claim 1 outlines the method of receiving customer identification and hardware transmitter identification from an electronic device, accessing customer information based on the customer identification, and transmitting the customer information to an in-store server. The in-store server then transmits the customer information to a computing machine within the retail location and initiates a customer information application to display the information associated with the customer.

Claim 8 describes the system for interfacing with an in-store server, which includes a computing machine executing a customer information application and an in-store server with a transceiver and a processor. The in-store server receives customer information from a backend server and transmits it, along with a request to initiate the customer information application, to the computing machine. The computing machine then displays the customer information via a user interface.

Claim 15 outlines a method of communicating relevant information associated with customers within a retail location. A hardware transmitter broadcasts a signal detectable by an electronic device, which sends customer identification and hardware transmitter identification to a backend server. The backend server accesses customer information and transmits it to an in-store server. The in-store server then transmits the customer information and a request to initiate the customer information application to a computing machine within the retail location, which displays the information associated with the customer.

Overall, the patent application describes a system and method for automatically determining and displaying customer information at a retail location based on the detection of a customer's mobile device. This enables effective and efficient customer service by providing relevant information to both customers and salespersons.

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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.