公开(公告)号：US12124862B2

公开(公告)日：2024-10-22

申请号：US17838908

申请日：2022-06-13

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Amber Wyatt ,  Hannah Matlock ,  Manuela Holt ,  Joe Peebles ,  Donald Joseph Yuhas ,  Ginny Maxson ,  Benjamin Shienvold ,  Whitney Street ,  Kathleen Haeker ,  Melissa Campbell ,  Damon Webb ,  Jason Beckman ,  Joshua Robert Brown ,  Ana Milicevic

IPC: G06F9/451 ,  G06F3/0482 ,  G06F16/23 ,  G10L15/26 ,  H04L65/1069

CPC classification number: G06F9/451 ,  G06F3/0482 ,  G06F16/2365 ,  G10L15/26 ,  H04L65/1069

Abstract: Techniques described herein relate to analyzing data systems to detect data deficiencies and generating user interfaces for performing user communication sessions to resolve the data deficiencies. A data system may include components and implement operations to analyze a related set of data to determine when to initiate a communication session with a user to resolve a data deficiency. The data system also may be configured to generate user interfaces customized based on particular users and/or particular associates to allow the associate to interact with the user to resolve the data deficiency. The data system also may determine when to record the communication session, store and/or transcribe the communication session, and/or associate the stored communication session records with the corresponding data in the data system.

公开(公告)号：US11587046B1

公开(公告)日：2023-02-21

申请号：US16169547

申请日：2018-10-24

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Amber Wyatt ,  Chris Ray ,  Ashish Sawhney ,  Tim Husarik ,  Jose Gonzalez ,  Tracey Herring ,  Holly Lambert ,  Stephen Tinglestad ,  Jason Beckman ,  Andrea Foster ,  John Freymann ,  Shane Tomlinson ,  Akilah Hugine ,  Daniel Green ,  Eric Brown

IPC: G06Q10/00 ,  G07C5/08 ,  G06F16/9537 ,  G06Q40/08 ,  G06V20/10 ,  G06Q10/20

Abstract: A system for instructing a user on repairing a vehicle configured to (i) receive, from the user, a request to repair a vehicle, including information about the vehicle; (ii) present, to the user via a user computer device, a user interface to allow the user to search for a repair facility to repair the vehicle; (iii) receive, from the user via the user interface, a selection of a repair facility; (iv) determine whether the selected repair facility is a select service location, where a select service location is a pre-authorized repair facility; and (v) if the selected repair facility is a select service location, transfer the information about the vehicle to a computer device associated with the selected repair facility.

公开(公告)号：US20250045075A1

公开(公告)日：2025-02-06

申请号：US18921826

申请日：2024-10-21

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Amber Wyatt ,  Hannah Matlock ,  Manuela Holt ,  Joe Peebles ,  Donald Joseph Yuhas ,  Ginny Maxson ,  Benjamin Shienvold ,  Whitney Street ,  Kathleen Haeker ,  Melissa Campbell ,  Damon Webb ,  Jason Beckman ,  Joshua Robert Brown ,  Ana Williams

IPC: G06F9/451 ,  G06F3/0482 ,  G06F16/23 ,  G10L15/26 ,  H04L65/1069

Abstract: Techniques described herein relate to analyzing data systems to detect data deficiencies and generating user interfaces for performing user communication sessions to resolve the data deficiencies. A data system may include components and implement operations to analyze a related set of data to determine when to initiate a communication session with a user to resolve a data deficiency. The data system also may be configured to generate user interfaces customized based on particular users and/or particular associates to allow the associate to interact with the user to resolve the data deficiency. The data system also may determine when to record the communication session, store and/or transcribe the communication session, and/or associate the stored communication session records with the corresponding data in the data system.

公开(公告)号：US20230282350A1

公开(公告)日：2023-09-07

申请号：US17685683

申请日：2022-03-03

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Justin Devore ,  Sateesh K. Nallamothu ,  Dayne Dalpoas ,  Ruth Anne Grosskopf ,  Jason Beckman ,  Kathi Cordiner ,  Jennifer Megargell

IPC: G16H50/20 ,  G06N20/00 ,  G06N7/00

CPC classification number: G16H50/20 ,  G06N7/005 ,  G06N20/00

Abstract: Techniques described herein relate to training and executing machine learning models configured to determine injury probabilities based on vehicle accident data. In some cases, a decision tree model may be constructed including various branching criteria based on particular vehicle accident data and injury ground truth data, including leaf nodes storing corresponding injury probabilities. A model execution component may execute the trained models to determine the probability of potential injuries associated with vehicle accidents. Based on the potential injury probabilities, a vehicle accident analysis system may identify target computer systems and/or target processes to be initiated on the target systems, based on the injury probabilities. In some example, the model execution architecture may be implemented using an event-driven system and/or cloud-based data storage and services to receive, store, and process data events associated with individual vehicle accidents.

公开(公告)号：US20220398110A1

公开(公告)日：2022-12-15

申请号：US17838908

申请日：2022-06-13

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Amber Wyatt ,  Hannah Matlock ,  Manuela Holt ,  Joe Peebles ,  Donald Joseph Yuhas ,  Ginny Maxson ,  Benjamin Shienvold ,  Whitney Street ,  Kathleen Haeker ,  Melissa Campbell ,  Damon Webb ,  Jason Beckman ,  Joshua Robert Brown ,  Ana Milicevic

IPC: G06F9/451 ,  H04L65/1069 ,  G06F3/0482 ,  G10L15/26 ,  G06F16/23

Abstract: Techniques described herein relate to analyzing data systems to detect data deficiencies and generating user interfaces for performing user communication sessions to resolve the data deficiencies. A data system may include components and implement operations to analyze a related set of data to determine when to initiate a communication session with a user to resolve a data deficiency. The data system also may be configured to generate user interfaces customized based on particular users and/or particular associates to allow the associate to interact with the user to resolve the data deficiency. The data system also may determine when to record the communication session, store and/or transcribe the communication session, and/or associate the stored communication session records with the corresponding data in the data system.

公开(公告)号：US20230316412A1

公开(公告)日：2023-10-05

申请号：US18205260

申请日：2023-06-02

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Mercy Behrens ,  Donald Joseph Yuhas ,  Jason Beckman

IPC: G06Q40/08 ,  H04L67/10 ,  G06N20/00 ,  G06F40/205

CPC classification number: G06Q40/08 ,  H04L67/10 ,  G06N20/00 ,  G06F40/205

Abstract: Example methods, apparatus and articles of manufacture to process insurance claims using cloud computing are disclosed herein. An example system to process an insurance claim using cloud computing includes an assistance resource of a cloud computing platform configured to interact electronically with at least one of an insured person, a representative of the insured person, or a representative of an insured entity to obtain information related to an insurance claim, an artificial intelligence resource of the cloud computing platform configured to process the information to identify an action to be taken for the insurance claim, and a backend system configured to perform the action, the backend processing module also useable by a person to manually process the insurance claim.

公开(公告)号：US11669907B1

公开(公告)日：2023-06-06

申请号：US16455533

申请日：2019-06-27

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Mercy Behrens ,  Donald Joseph Yuhas ,  Jason Beckman

IPC: G06Q40/08 ,  G06N20/00 ,  H04L67/10 ,  G06F40/205

CPC classification number: G06Q40/08 ,  G06F40/205 ,  G06N20/00 ,  H04L67/10

Abstract: Example methods, apparatus and articles of manufacture to process insurance claims using cloud computing are disclosed herein. An example system to process an insurance claim using cloud computing includes an assistance resource of a cloud computing platform configured to interact electronically with at least one of an insured person, a representative of the insured person, or a representative of an insured entity to obtain information related to an insurance claim, an artificial intelligence resource of the cloud computing platform configured to process the information to identify an action to be taken for the insurance claim, and a backend system configured to perform the action, the backend processing module also useable by a person to manually process the insurance claim.

公开(公告)号：US20230123916A1

公开(公告)日：2023-04-20

申请号：US18069059

申请日：2022-12-20

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Amber Wyatt ,  Chris Ray ,  Ashish Sawhney ,  Tim Husarik ,  Jose Gonzalez ,  Tracey M. Herring ,  Holly Lambert ,  Stephen Tinglestad ,  Jason Beckman ,  Andrea Foster ,  John Freymann ,  Shane Tomlinson ,  Akilah Hugine ,  Daniel Green ,  Eric Brown

IPC: G06Q10/20 ,  G07C5/08 ,  G06V20/10 ,  G06Q40/08 ,  G06F16/9537

Abstract: A system for instructing a user on repairing a vehicle configured to (i) receive, from the user, a request to repair a vehicle, including information about the vehicle; (ii) present, to the user via a user computer device, a user interface to allow the user to search for a repair facility to repair the vehicle; (iii) receive, from the user via the user interface, a selection of a repair facility; (iv) determine whether the selected repair facility is a select service location, where a select service location is a pre-authorized repair facility; and (v) if the selected repair facility is a select service location, transfer the information about the vehicle to a computer device associated with the selected repair facility.

公开(公告)号：US12211620B2

公开(公告)日：2025-01-28

申请号：US17685683

申请日：2022-03-03

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Justin Devore ,  Sateesh K Nallamothu ,  Dayne Dalpoas ,  Ruth Anne Grosskopf ,  Jason Beckman ,  Kathleen Cordiner ,  Jennifer Megargell

IPC: G16H50/20 ,  G06N7/01 ,  G06N20/00

Abstract: Techniques described herein relate to training and executing machine learning models configured to determine injury probabilities based on vehicle accident data. In some cases, a decision tree model may be constructed including various branching criteria based on particular vehicle accident data and injury ground truth data, including leaf nodes storing corresponding injury probabilities. A model execution component may execute the trained models to determine the probability of potential injuries associated with vehicle accidents. Based on the potential injury probabilities, a vehicle accident analysis system may identify target computer systems and/or target processes to be initiated on the target systems, based on the injury probabilities. In some example, the model execution architecture may be implemented using an event-driven system and/or cloud-based data storage and services to receive, store, and process data events associated with individual vehicle accidents.

公开(公告)号：US20230245241A1

公开(公告)日：2023-08-03

申请号：US17735995

申请日：2022-05-03

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Thaddeus Robert Sulek ,  Ruth Anne Grosskopf ,  Justin Devore ,  Dayne Dalpoas ,  Sateesh K Nallamothu ,  Scott Page Keller ,  Jason Beckman

IPC: G06Q40/08

CPC classification number: G06Q40/08

Abstract: Insurance claims can be assigned to different claim processing groups within an insurance company. A machine learning liability classifier can evaluate claim data for an insurance claim, to predict a likelihood that an insured party has either 0% or 100% liability. If the likelihood of the insured party having either 0% or 100% liability meets or exceeds a threshold, the insurance claim can be assigned directly to a non-complex claim processing group that processes relatively simple insurance claims. Otherwise, one or more downstream claim routing elements can further process the claim data to determine whether the insurance claim is to be assigned to the non-complex claim processing group or to a complex claim processing group that processes more complex insurance claims.