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    Automated service ticket generation
    104.
    发明授权
    Automated service ticket generation 有权

    公开(公告)号：US12107894B1

    公开(公告)日：2024-10-01

    申请号：US17326151

    申请日：2021-05-20

    Applicant: State Farm Mutual Automobile Insurance Company

    Inventor： Cesar Bryan Acosta ,  Faith Alexis Brumfield ,  Sarah Gichuhi ,  Claire Roop ,  Andrew Warner ,  Amanda Yang

    IPC: H04L9/40 ,  H04L67/5682

    CPC classification number: H04L63/20 ,  H04L63/1425 ,  H04L67/5682

    Abstract: An automated service ticket generation system including an application configured to receive risk data associated with an asset and generate a service ticket based on the risk data. The application may receive risk data including an indication of whether the asset is out of compliance or will soon be out of compliance with a policy and/or regulation. Responsive to receiving the risk data, the application may access a remote computing device to generate the service ticket. The service ticket may include a mitigation task for an asset owner to perform in order to comply with the policy and/or regulation. The application may cause an indication of the service ticket to be presented on a display of a computing device. In some examples, the application may cause an indication of the service ticket to be sent to a computing device associated with the asset.

    User interface for real-time data synchronization within a database platform
    105.
    发明授权
    User interface for real-time data synchronization within a database platform 有权

    公开(公告)号：US12105731B2

    公开(公告)日：2024-10-01

    申请号：US17546459

    申请日：2021-12-09

    Applicant: State Farm Mutual Automobile Insurance Company

    Inventor： Jeffrey M. Prall ,  Arunraj Radhakrishnan ,  Srikanth R. Thummeti ,  Venkata R. Paidi

    IPC: G06F16/27 ,  G06Q30/0201

    CPC classification number: G06F16/27 ,  G06Q30/0201

    Abstract: A system for real-time data synchronization within a database platform may be provided. The system includes a LRM computing device including a processor in communication with one or more data sources and an eCRM platform. The processor may be configured to (i) cause an input page to be displayed on a user computing device; (ii) create in real-time a query including an identifier received using the input page; (iii) initiate in real-time an API call including the query; (iv) cause, in real-time and using the API call, the eCRM platform and the one or more data sources to compare the identifier to lead referral information stored on the one or more data sources and the eCRM platform; and (v) in response to no match being found in the comparison, automatically create and store a lead referral data entry on the one or more data sources and the eCRM platform.

    DETERMINING OPTIMAL WATER SENSOR PLACEMENT USING A MACHINE LEARNING CHATBOT
    108.
    发明公开
    DETERMINING OPTIMAL WATER SENSOR PLACEMENT USING A MACHINE LEARNING CHATBOT 审中-公开

    公开(公告)号：US20240318994A1

    公开(公告)日：2024-09-26

    申请号：US18372372

    申请日：2023-09-25

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Kyle Malan ,  Sean Kingsbury

    IPC: G01F23/22 ,  H04L51/02

    CPC classification number: G01F23/22 ,  H04L51/02

    Abstract: Systems and methods disclosed herein relate to determining an optimal placement location of one or more water sensors proximate a structure using a machine learning (ML) chatbot. The ML chatbot may detect a request to identify the optimal placement location of the water sensors. In response to the request, structure information is provided to a trained ML model to generate an indication of the optimal placement location of the water sensors. The ML chatbot may detect the indication of the optimal placement location of the water sensors. The indication of the optimal placement location of the water sensors is provided to a user device.

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