State Farm Mutual Automobile Insurance Company

Douglas Albert Graff

William J Leise

Shawn M Call

Jaime Skaggs

Stacie A McCullough

Nathan Wilhelm Baumann

Craig Benjamin Cope

Mark E Clauss

Megan Michal Baumann

Thomas Michael Potter

Dustin Ryan Carter

Curtis Simpson

Atlanta Bonnom

Jennifer Luella Lawyer

Jacob J Alt

Vicki King

Eric Bellas

Eric R Moore

Melinda Teresa Magerkurth

Kim E Flesher

Travis Charles Runge

Anthony McCoy

Wendy H Clayton

Christina P Mullen

Ronald R Duehr

Justin Devore

Shane Tomlinson

Gary Foreman

Jason Beckman

John Westhues

Carlee A Clymer

Stephen E Wilson

Yohan Santos

Bradley J Walder

David A Pluimer

Tracey Leigh Knorr

Erin E Miller

Joshua T Monk

Aaron Ames

John G McConkey

Michael Cicilio Fresquez

Himanshu Chhita

Michele Wittman

Alexis Danielle Cates

Stephen Young

Rajesh Panicker

Carrie A Read

Michael Brown

Robin A Rose

Pavan Kumar Bhagavatula

Denson Smith

Vincent M Hummel

Chad Mychal Hirst

Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle collision, in particular, utilizing evidence oracles as part of the subrogation process. An exemplary embodiment includes receiving recorded data from one or more connected devices at a geographic location; analyzing the recorded data, wherein analyzing the recorded data includes determining that an collision has occurred involving one or more vehicles; generating a transaction including the data indicative of the collision based upon the analysis; and transmitting the transaction to at least one other participant in the distributed ledger network.

Evidence oracles

A method of driver behavior that includes generating, by a mobile device located inside a vehicle, telematics data associated with operation of the vehicle, and transmitting, from the mobile device to one or more processors via wireless communication, the telematics data in real-time. The method also includes analyzing the telematics data to determine whether a driving score for a driver, determining whether the driving score is greater than a threshold value, determining a discount based upon the driving score being higher than the threshold, and generating a communication based upon the discount. The method further includes transmitting the communication.

Methods of facilitating emergency assistance

A system and method may collect telematics and/or other data, and apply the data to insurance-based applications. From the data, an insurance provider may determine accurate vehicle usage information, including information regarding who is using a vehicle and under what conditions. An insurance provider may likewise determine risk levels or a risk profile for an insured driver (or other drivers), which may be used to adjust automobile or other insurance policies. The insurance provider may also use the data collected to adjust behavior based insurance using incentives, recommendations, or other means. For customers that opt-in to the data collection program offered, the present embodiments present the opportunity to demonstrate a low or moderate risk lifestyle and the chance for insurance-related savings based upon that low or moderate risk.

Methods of providing insurance savings based upon telematics and driving behavior identification

A shared ledger operated by a group of network participants according to a set of consensus rules manages and resolves subrogation claims between a clamant and a defendant with arbitration. Evidence regarding the value of the subrogation claim is sent to the shared ledger by the parties to the subrogation claim such as sending data to a smart contract deployed on the shared ledger. The parties to the subrogation claim or entities that are not parties to the subrogation claim may broadcast data relating to fault to the blockchain. The data relating to fault may be evaluated by the parties or entities acting on the parties' behalf to determine fault. A fault determination may be broadcast to the blockchain based upon the analysis of the data relating to fault. Once the claim is resolved, arbitrator may release funds on the chain to the prevailing party or may accept confirmation that any payments have been made between the parties off-chain.

Fault determination of blockchain subrogation claims

A method of vehicle accident response includes generating, by a mobile device located inside a vehicle, telematics data associated with operation of the vehicle, and transmitting, from the mobile device to one or more processors via wireless communication, the telematics data. The method also includes analyzing the telematics data to determine that an accident involving the vehicle has occurred, analyzing the telematics data to determine a likelihood of injury due to the accident, and generating a communication (i) based upon the telematics data and the likelihood of injury and (ii) in response to determining that the accident has occurred. The method further includes transmitting, to the mobile device, the communication.

In system and methods for pre-generating insurance claims, accident data associated with a vehicle accident involving a driver may be collected. The accident data may be analyzed, and a likely severity of the vehicle accident may be determined based upon the analysis of the accident data. An estimated insurance claim may be generated based upon the determined likely severity of the vehicle accident, and transmitted, via wireless communication, from one or more remote servers to a mobile device associated with the driver to facilitate presenting all, or a portion of, the estimated insurance claim to the driver or the insured. A wireless communication from the driver or insured indicating approval, rejection or modification of the estimated insurance claim may be received. The estimated insurance claim may be handled in accordance with the approval, rejection or modification.

Methods of pre-generating insurance claims

In system and methods for loss mitigation, accident data associated with a vehicle accident involving a driver may be collected. The accident data may be analyzed, and a likely severity of the vehicle accident may be determined based upon the analysis of the accident data. A communication related to emergency assistance or an emergency assistance recommendation may be generated based upon the determined likely severity of the vehicle accident, and transmitted, via wireless communication, from one or more remote servers to a mobile device associated with the driver. A wireless communication from the driver indicating approval or modification of the emergency assistance or emergency assistance recommendation may be received. A third party may be notified, via a communication sent from the remote server(s), of requested emergency assistance as approved or modified by the driver. An estimated insurance claim may also be generated based upon vehicle accident likely severity.

A shared ledger operated by a group of network participants according to a set of consensus rules manages and resolves subrogation claims between a clamant and a defendant with arbitration. Evidence regarding the value of the subrogation claim is sent to the shared ledger by the parties to the subrogation claim, such as sending data to a smart contract deployed on the shared ledger. The parties to the claim may request arbitration, especially after attempts to settle the claim on-chain between the two parties have failed. An arbitrator may request evidence from the parties and/or request responses from the parties to accept damages calculations and/or settlement offers. Once the claim is resolved, the arbitrator may release funds on the chain to the prevailing party or may accept confirmation that any payments have been made between the parties off-chain.

Blockchain subrogation claims with arbitration

Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle accident, in particular, utilizing historical data related to a vehicle or vehicle collisions as part of the subrogation process. An exemplary embodiment may include receiving historical sensor data, such as image, audio, telematics, and/or autonomous vehicle data, associated with a past vehicle collision; inputting the historical sensor data into a machine learning program to determine data relevant to a past vehicle collision; receiving current sensor data associated with a current vehicle collision; inputting the current sensor data into the machine learning program to determine data relevant to the current vehicle collision; and determining a percentage of fault of the vehicle collision for one or more autonomous vehicles, autonomous vehicle systems, and/or drivers based upon, at least in part, analysis of the historical sensor data and the current sensor data.

Using historical data for subrogation on a distributed ledger

The present embodiments relate to systems and methods for using a blockchain to record information related to the lifecycle of a vehicle associated with a Vehicle Identification Number (VIN), or other vehicle identifier. For example, the VIN lifecycle process may be used to ensure the transferability of title, including when information relevant to transferability is not easily determinable, such as after a collision occurs. The systems and methods may include the reception of a mileage report corresponding to a vehicle and updating a blockchain to associate the vehicle with mileage information. The systems and methods described herein may allow for using a blockchain which gives the option for private information, and permissioned participants in the blockchain. In particular, the systems and methods allow for a distributed consensus amongst businesses, consumers, and authorities, as to the validity of information and transactions stored on the blockchain.

Systems and methods for maintaining transferability of title via blockchain

A method of identifying a vehicle total loss claim includes retrieving a plurality of historical vehicle records, labeling the records as repaired or total loss, calculating mean cost values, training a regression model, optimizing a probability threshold, analyzing a plurality of inputs to generate a prediction, and transmitting the prediction. A computing system includes a transceiver; a processor; and a memory storing instructions that, when executed by the processor, cause the computing system to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when the prediction is total loss, generate a settlement offer. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when prediction is total loss, generate a settlement offer.

Method and system for early identification and settlement of total loss claims

Growing community of inventors

Mountain View, MO, United States of America

Douglas Albert Graff