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    Systems and Methods for Analysis of Home Telematics Using Generative AI
    1.
    发明公开
    Systems and Methods for Analysis of Home Telematics Using Generative AI 审中-公开

    公开(公告)号：US20240289596A1

    公开(公告)日：2024-08-29

    申请号：US18196700

    申请日：2023-05-12

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Aaron Williams ,  Scott T. Christensen ,  Ryan Gross ,  Joseph P. Harr

    IPC: G06N3/0475 ,  G06Q40/08

    CPC classification number: G06N3/0475 ,  G06Q40/08

    Abstract: Systems and methods are described for analyzing home telematics data to generate a dialogue output. The method may include: (1) receiving, by one or more processors, home telematics data at a generative artificial intelligence (AI) model, wherein the home telematics data includes sensor data regarding a property associated with a user; (2) analyzing, by the one or more processors and using the generative AI model, the home telematics data to generate a home telematics analysis for the property; and (3) generating, by the one or more processors and using the generative AI model, a dialogue output (or visual or virtual output for display) to present to the user based upon at least the home telematics analysis, wherein the dialogue output is further generated based upon at least a predicted user understanding of the dialogue output.

    SYSTEM AND METHODS FOR PREDICTING RENTAL VEHICLE USE PREFERENCES
    2.
    发明公开
    SYSTEM AND METHODS FOR PREDICTING RENTAL VEHICLE USE PREFERENCES 审中-公开

    公开(公告)号：US20240078567A1

    公开(公告)日：2024-03-07

    申请号：US18507748

    申请日：2023-11-13

    Applicant: State Farm Mutual Automobile Insurance Company

    Inventor： Brian N. Harvey ,  Joseph Robert Brannan ,  J. Lynn Wilson ,  Matthew Eric Riley, Sr. ,  Ryan Gross

    IPC: G06Q30/0202 ,  G06Q30/0645 ,  G06Q50/30

    CPC classification number: G06Q30/0202 ,  G06Q30/0645 ,  G06Q50/30

    Abstract: Embodiments described herein generate a first set of prompts, the first set of prompts configured to prompt a vehicle owner for a first set of answers used to learn preferred vehicle renter characteristics; receive the first set of answers; generate, based upon the first set of answers, a second set of prompts, the second set of prompts configured to prompt the owner for a second set of answers used to learn additional preferred vehicle renter characteristics; receive the second set of answers; predict user preference value(s) of a profile of the owner based upon the second set of answers, wherein the user preference value(s) define criteria for sharing a vehicle associated with the profile with vehicle renters who satisfy the criteria; apply the criteria to potential vehicle renters; and cause an indication of the vehicle to be displayed only to the potential vehicle renters who satisfy the criteria.

    TELEMATICS SERVICE DETECTION AND ACTION MESSAGING BASED ON MACHINE LEARNING FOR ASSISTING CAR SHARING PLATFORM
    4.
    发明申请
    TELEMATICS SERVICE DETECTION AND ACTION MESSAGING BASED ON MACHINE LEARNING FOR ASSISTING CAR SHARING PLATFORM 有权

    公开(公告)号：US20230120749A1

    公开(公告)日：2023-04-20

    申请号：US18080737

    申请日：2022-12-13

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Joseph Robert Brannan ,  Ryan Gross

    IPC: G06Q30/0208 ,  G06N20/00 ,  H04L51/046 ,  G08G1/00 ,  G06Q50/30 ,  G06Q10/20 ,  H04L51/224

    Abstract: A method includes training artificial neural network models; analyzing first data to determine vehicle imperatives; and generating a respective action value by analyzing actions using the of trained artificial neural network models. A non-transitory computer readable medium containing program instructions that when executed, cause a computer system to: train artificial neural network models; analyze first data to determine vehicle imperatives; and generate a respective action value by analyzing actions using the of trained artificial neural network models. A computing system includes: a processor; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to: train artificial neural network models; analyze first data to determine vehicle imperatives; and generate a respective action value by analyzing actions using the of trained artificial neural network models.

    SYSTEMS AND METHODS OF MONITORING AND ANALYZING MULTIMODAL TRANSPORTATION USAGE
    5.
    发明申请
    SYSTEMS AND METHODS OF MONITORING AND ANALYZING MULTIMODAL TRANSPORTATION USAGE 有权

    公开(公告)号：US20210063173A1

    公开(公告)日：2021-03-04

    申请号：US17095067

    申请日：2020-11-11

    Applicant: State Farm Mutual Automobile Insurance Company

    Inventor： Craig Cope ,  Kristopher Keith Gaudin ,  Ryan Gross ,  Melissa C. Miles ,  Jessica Lynn Shull ,  Michael K. Cook

    IPC: G01C21/34 ,  G06Q40/08

    Abstract: Systems and methods relating to usage of multimodal transportation systems are disclosed. Such systems and methods may identify available local transportation modes for a user, such as vehicle-sharing, ridesharing, rental vehicles, taxicabs, owned vehicles, or public transit options. The available transportation modes may be compared, and recommendations may be presented to the user. Routes may be identified, compared, or recommended to a user, and scheduling or ticket purchasing may be facilitated. With user permission, user transportation data may be collected via a smartphone to identify user transportation patterns and preferences, thereby improving recommendations regarding and assessment of user transportation. Information regarding risks or other relevant factors associated with various transportation modes may be assessed for a user based upon typical characteristics of user transportation choices over a plurality of transportation scenarios, which may be indicated by a user transportation profile.

    System and methods for determining rental eligibility based on contextual telematics data
    6.
    发明授权
    System and methods for determining rental eligibility based on contextual telematics data 有权

    公开(公告)号：US12248981B2

    公开(公告)日：2025-03-11

    申请号：US18587640

    申请日：2024-02-26

    Applicant: State Farm Mutual Automobile Insurance Company

    Inventor： Brian N. Harvey ,  Joseph Robert Brannan ,  J. Lynn Wilson ,  Matthew Eric Riley, Sr. ,  Ryan Gross

    IPC: G06Q30/0645 ,  B60W40/04 ,  B60W40/06 ,  B60W40/09

    Abstract: Embodiments described herein, inter alia, receive telematics data collected over a period of time, wherein the telematics data is indicative of operation of a vehicle by a potential renter during the period of time; identify, upon analyzing the telematics data, driving behavior(s) of the renter during the period of time; determine, for each driving behavior, a corresponding state of an environment of the vehicle when the driving behavior occurred; determine renter eligibility value(s) for the renter based on the driving behavior(s) and the corresponding state of an environment of the vehicle; compare the renter eligibility value(s) to user preference value(s) of a profile of a vehicle owner, wherein the user preference value(s) define one or more criteria for vehicle renters with whom the vehicle can be shared; and cause an indication of the vehicle associated with the profile to be displayed only if the renter satisfies the criteria.

    VEHICLE FLEET EXCHANGE METHOD AND SYSTEM
    9.
    发明申请
    VEHICLE FLEET EXCHANGE METHOD AND SYSTEM 有权

    公开(公告)号：US20230117668A1

    公开(公告)日：2023-04-20

    申请号：US18084097

    申请日：2022-12-19

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Joseph Robert Brannan ,  Ryan Gross

    IPC: G06Q10/02 ,  G08G1/00 ,  G06Q50/30 ,  G06Q10/1093

    Abstract: A method of facilitating a fleet exchange includes retrieving a fleet and retrieving a set of workers, analyzing the fleet and the set of workers using smart scheduling to generate allocations, and displaying the allocations to the workers. In another aspect, a non-transitory computer readable medium includes program instructions that when executed, cause a computer system to receive vehicle allocation request, retrieve worker information and a worker calendar, generate an allocation, and display the allocation in a display device. A computing system for facilitating fleet exchange includes one or more processors and a memory including computer executable instructions that, when executed by the one or more processors, cause the computing system to retrieve a fleet and a set of workers, analyze the fleet and the set of workers to generate allocations, and display the allocations in a respective computing device of the workers.

    Telematics service detection and action messaging based on machine learning for assisting car sharing platform
    10.
    发明授权
    Telematics service detection and action messaging based on machine learning for assisting car sharing platform 有权

    公开(公告)号：US11556949B2

    公开(公告)日：2023-01-17

    申请号：US17387583

    申请日：2021-07-28

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Joseph Robert Brannan ,  Ryan Gross

    IPC: G06Q30/02 ,  G06N20/00 ,  H04L51/046 ,  G08G1/00 ,  G06Q50/30 ,  G06Q10/00 ,  H04L51/224

    Abstract: A method of causing car sharing platform user to perform vehicle actions includes training a model by analyzing historical data; analyzing a first data set to determine vehicle requirements comprising respective actions that include respective action values; displaying the actions; receiving user acceptance of the actions; analyzing a second data set to identify changes to the requirements indicating completed actions; and releasing the respective generated action value for the completed actions. A non-transitory computer readable medium containing program instructions that when executed, cause a computer system to: train a model by analyzing historical data; analyze a first data set to determine vehicle requirements comprising respective actions that include respective action values; display the actions; receive user acceptance of the actions; analyze a second data set to identify changes to the requirements indicating completed actions; and release the respective generated action value for the completed actions.

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