State Farm Mutual Automobile Insurance Company

Holly Lambert

Shane Tomlinson

Daniel J Green

Bradley A Sliz

Marigona Bokshi-Drotar

Jennifer Malia Andrus

He Yang

Michael L Bernico

Benjamin E Byrd

Andrew Oliveira

Jonathan Chang

John Martinez

Jose G Aranguren

Shagun Kariwala

Wen Ding

Maurice Pruna

Jason Beckman

Amber L Wyatt

Eric Brown

Jose Gonzalez

Andrea Foster

Ashish Sawhney

Derek Lawless

Tracey Herring

Akilah Hugine

Holly Kay Sanderson

Tim Husarik

Stephen Tinglestad

John Freymann

Chris Ray

Song Zheng

Michelle DeLynn Adler

Joshua Zaks

Ryan Monroe

Orr Epstein

Example methods, apparatus and articles of manufacture to process insurance claims using historical data are disclosed herein. An example method of estimating damage to a vehicle, the method includes receiving, using one or more processors, one or more images of damage to a vehicle, identifying, using one or more processors, one or more additional vehicles having damage similar to the damage to the vehicle based on the one or more images, determining, using one or more processors, a likelihood that a part of the vehicle is damaged based on damage associated with the one or more additional vehicles, and determining, using one or more processors, whether to include the part in a repair estimate based on the likelihood.

Methods and apparatus for automated insurance claim processing using historical data

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.

Systems and methods for performing repairs to a vehicle

A system and method for intelligent message routing is provided. The system and method include a) storing, in one or more storage devices, a plurality of transmission rules for transmitting messages, b) receiving a message to be transmitted to a participant, c) comparing the message to the plurality of transmission rules, d) determining a first channel to transmit the message to a computer device associated with the participant based on the comparison, e) converting the message into a first message for transmission on the first channel, and f) transmitting the first message over the first channel.

Systems and methods for advanced message handling

A system and computer-implemented method for facilitating a user of a mobile device obtaining image data of damage to a vehicle for damage assessment includes capturing image data of a vehicle with the mobile device. The mobile device may include an orientation model for capturing the image data. The captured image data is analyzed, and a determination is made of the orientations of the images of the captured image data. In addition, a determination is made as to whether the captured image data can be used for the damage assessment. The captured image data may then be transmitted to a damage estimator computing device for estimating an amount of damage to the vehicle.

Methods and systems for obtaining image data of a vehicle for automatic damage assessment

A system and computer-implemented method for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle includes receiving image data of a vehicle from a user mobile device. The image data is processed to determine whether one or more parts of the damaged vehicle are damaged. In addition, one or more parts of the damaged vehicle are identified for repair and one or more parts of the damaged vehicle are identified for replacement. A cost associated for the repair of each of the one or more parts of the damaged vehicle for repair is estimated based on estimated repair cost data contained in a parts repair database. Moreover, a cost associated with the replacement of each of the one or more parts of the damaged vehicle for replacement is determined based on replacement cost data contained in a parts replacement database.

Methods and systems for automatic processing of images of a damaged vehicle and estimating a repair cost

Systems and methods for multiple channel message handling and routing

A system for capturing images of damage to an object configured to (i) store an orientation model associated with an object; (ii) receive, from a user, a request to analyze damage to the object; (iii) instruct the user to position a camera at a first position relative to the object; (iv) receive an image of the object from the camera; (v) determine whether the received image is properly framed; (vi) if the received image is not properly framed, instruct the user to adjust the position of the camera; and (vii) if the received image is properly framed, instruct the user to position the camera at a second position relative to the object. As a result, obtaining images of sufficient quality for proper processor analysis may be facilitated.

Systems and methods for model-based analysis of damage to a vehicle

A system and computer-implemented method for automatically predicting the labor, hours, and parts costs for repair of a vehicle includes receiving one or more images of the vehicle from a policyholder. A damage assessment model is accessed. The damage assessment model corresponds to features of vehicle damage based on a plurality of damaged vehicle images contained in an image training database. The damage assessment model is compared to the images of the vehicle and vehicle damage is identified based on the images. In addition, in response to identifying the vehicle damage, total labor costs, total parts costs, and total hours for repair of the vehicle are predicted based on the associated total labor costs, total parts costs, and total hours for repair data contained in the historical claims database.

Methods and systems for automatically predicting the repair costs of a damaged vehicle from images

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Roswell, GA, United States of America

Holly Lambert