State Farm Mutual Automobile Insurance Company

John Dillard

Jeffrey Mousty

John Westhues

Surendra Kumar Karnatapu

Leann Dionesotes

David Ruby

Robert Fatima

John H Jenkins

Chadd Eugene Grove

William Richard Simonovich, Ii

Kimberly J Timmons

Christy L Conn

Kannan Balakrishnan

A method for providing smart auto rental estimatics to a user includes training a machine learning model to predict repair information, receiving a report, analyzing the report to identify a coverage, determining a vendor, receiving a chosen vendor, determining a branch, receiving a chosen branch, analyzing the report and a volume data using the trained machine learning model to determine loss information, calculating out-of-pockets, and transmitting the out-of-pockets to the user.

Smart estimatics methods and systems

A method of determining an injury segment includes receiving a loss report, analyzing the loss report using a trained model to determine a severity of an injury, determining, based on the severity of the injury, an injury segment, and storing, via a processor, an indication of the injury segment. A computer system includes a processor configured to receive a loss report, analyze the loss report using a trained model to determine the severity of an injury, determine an injury segment, and store an indication of the injury segment. A non-transitory computer readable medium containing program instructions that when executed cause a computer to receive a loss report, analyze the loss report using a trained model to determine the severity of an injury, determine an injury segment, and store an indication of the injury segment.

Methods and systems for injury segment determination

A method of determining an injury segment includes training a machine learning model, receiving a loss report, analyzing the loss report using the trained model to determine a severity of an injury, determining, based on the severity of the injury, an injury segment, and storing, via a processor, an indication of the injury segment. A computer system includes a processor configured to train a machine learning model, receive a loss report, analyze the loss report using the trained model to determine the severity of an injury, determine an injury segment, and store an indication of the injury segment. A non-transitory computer readable medium containing program instructions that when executed cause a computer to train a machine learning model, receive a loss report, analyze the loss report using the trained model to determine the severity of an injury, determine an injury segment, and store an indication of the injury segment.

Systems and methods are disclosed with respect to providing seamless customer experience transactions, in particular, linking disparate systems to facilitate a lower friction customer experience. 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.

Methods and systems for providing seamless customer experience transactions

A method of assigning and/or routing an auto claim to an appropriate claim handling tier to mitigate delay may include training a machine learning model using historical claim data to determine a severity corresponding to an injury claim, receiving a loss report corresponding to an auto accident, analyzing the loss report using the trained machine learning model to determine the severity of at least one injury corresponding to the loss report, determining an injury segment, and storing the indication of the injury segment in association with the loss report.

Methods and systems for smart claim routing and smart claim assignment

A method includes receiving an indication that a communication is to be sent from the first party to a second party, and, for the communication from the first party to the second party, generating a code that encodes an indication of a communication routing between the first party and the second party. The computer-implemented method further includes embedding the code into the communication such that the code is sent with the communication from the first party to the second party, receiving a response to the communication, wherein the response to the communication includes the embedded code, and decoding the embedded code to determine the communication routing between the first party and the second party. Still further, the computer-implemented method includes causing the response to the communication to be routed to the first party based on the determined communication routing.

Symbol-based communication routing

A computer implemented method may allow for the upload and verification of a document. In one aspect, the method may receive a file at a data server associated with an insurance company event and determine if the file contains a computer security threat. The method may also determine if the file is supported and convert the file wherein the converted file is supported. The method may further flag the converted file for association with an insurance company event and transmit the converted file to a permanent storage server.

System and method for uploading and verifying a document

A computer implemented method may allow for the upload and verification of a document. In one aspect, the method may receive a file associated with an insurance company event, determine if the file contains a computer security threat and transmit the file to a temporary data server. The method may also determine if the file is supported and convert the file wherein the converted file is supported. The method may further flag the converted file for association with an insurance company event and transmit the converted file to a permanent storage server.

A computer implemented method may allow for the upload and verification of a document. In one aspect, the method may receive a file associated with an insurance company event, determine if the file contains a computer security threat and transmit the file to a temporary data server. The method may also determine if the file is supported, convert the file and transmit the converted file to the client device for a verification that the converted file can be uploaded. The method may further receive the verification from the client device that the converted file can be uploaded, flag the converted file for association with an insurance company event and transmit the converted file to a permanent storage server.

A computer implemented method may allow for the upload and verification of a document. In one aspect, the method may receive a file associated with an insurance company event, determine if the file contains malicious code and transmit the file to a temporary data server. The method may also determine if the file is in a supported file format and if the file meets a supported file size, convert the file and transmit the converted file to the client device for a verification that the converted file can be uploaded. The method may further receive the verification from the client device that the converted file can be uploaded, flag the converted file for association with a customer account associated with the client device and transmit the converted file to a permanent storage server.

An upload and verification system allows a user to upload files which the user would like to attached to the electronic record of a certain event associated with the company, for example, an insurance claim. A quarantine server may receive the uploaded file and scan the file for malicious code. The quarantine server may transmit the file to temporary storage server. The temporary storage server may receive the file, may convert the file to a file format supported by the company system and may compress the file. The temporary storage server may also transmit a preview of the file back to the client device, where the user can verify that the correct document has been uploaded and no mistakes have been made.

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Bloomington, IL, United States of America

John Dillard