United Services Automobile Association (usaa)

Shawn D Low

Matthew C Dahlman

Daniel Diaz

Breanna Nicole Allerkamp

Andrew Luke Enochs

Thirumurugan Thyagarajan

Michael W Moltz

Wendy J Anderson

Samuel Steven Wolf

Todd Watts

Heather Messier Garcia

Bonnie J Shillig

Dawn Elizabeth Wolff

Allen Josue Gonzalez

To enable efficient processing of an insurance claim that is submitted by a client, the presently disclosed embodiments include systems and methods that enable an insurance computing system to autonomously assess the risk of fraud associated with a claim by generating a risk score. The risk score may provide an indication of a likelihood of fraud associated with the claim based on similar insurance claims in the same geographical area, client information indicative of a likelihood to commit fraud, and/or a type of the claim. The insurance computing system may compare the risk score with a threshold number, and if the threshold number is exceeded, the insurance computing system may prompt the client to contact a service representative to further process or validate the claim. Otherwise, if the threshold number is not exceeded, the insurance computing system may continue processing the claim autonomously.

Fraud identification system

A technique for assessing a vehicle condition is provided that determines whether damage has occurred to the vehicle using electrical property data acquired by one or more electrical property detection systems disposed on one or more surfaces of the vehicles. The electrical property detection system include a conductive polymer material that changes in response to chemical deformations and/or mechanical deformations in the conductive polymer material, which may result from objects and/or other vehicles damaging the conductive polymer material. Based on the electrical property data, a control system may generate a damage assessment output, such as an alert for a vehicle owner.

Systems and methods for assessing vehicle damage

An advanced lens system includes an advanced lens configured to be worn by an individual. The advanced lens system includes a camera configured to obtain one or more images of a property. The advanced lens system includes one or more processors communicatively coupled to the advanced lens and the camera, the one or more processors being configured to receive the one or more images of the property and process the one or more images to identify primary damage to the property. The one or more processors are also configured to predict, based on the primary damage and previous damage data stored in a database, secondary damage that is likely to be present with the primary damage. The one or more processors are further configured to provide an output indicative of the secondary damage that is likely to be present with the primary damage via a display of the advanced lens.

Advanced lens system for assessing property damage

A system includes one or more processors configured to receive income-related data, receive an input comprising an image that corresponds to a desired acquisition, access at least one database to identify a cost of the desired acquisition, generate a first purchase plan for the desired acquisition based on the income-related data and the cost, graphically augment the image to generate a graphically-augmented version of the image comprising at least a portion of the image and the purchase plan, and display the graphically-augmented version of the image on a device.

Financial education tool

Methods and systems described in this disclosure describe generating a travel smartlist. In some implementations, the system can receive a location of travel and a date associated with the travel. The system can generate objects based on the location of the travel and the date and can organize the objects by categories and timeframes, the timeframes being in relation to the date. The system can cause a graphical user interface to display objects associated with a first category horizontally and display objects associated with a second category horizontally below the objects associated with the first category when a first timeframe is selected.

Systems and methods for generating a travel smartlist

Growing community of inventors

San Antonio, TX, United States of America

Shawn D Low