Allstate Insurance Company

Allstate Solutions Private Limited

Dean Krieter

Salvador Lopez

Craig Oldham

Javier Porras

John Paul Wojcik

Michael Frederick Hobart

Jeffrey Robert Herrmann

Christopher Trinco

Trina Uzee

Katherine Rose Swindler

Anastasia Hannebrink

Vikram Narra

Roberta H Borst

Sandra Lynne Downer

Brent Brooks

Pavan Neelakanthana Gouda

Systems and methods provide for a computerized system for quoting home owners insurance and providing a more consultative way of delivering insurance quotes and insurance quote information. The system may present insurance consumers with an automated process of asking questions and receiving feedback. Based on the feedback, the system may provide insurance options and explanations of those options enabling consumers to make a decision that best fits their personal situation. For example, systems and methods are directed to determining and providing a deductible that fits a user based on the user's tolerance for risk and cash position. The system may also provide a description of the types of risks and damages that are covered by particular insurance coverages. The system may also provide an analysis of the insurance obtained by similarly situated individuals. The system may also provide descriptions of insurance features.

Generating insurance quotes

Aspects of the disclosure relate to enhanced selectable item availability processing systems with improved content and configuration update capability and enhanced selectable item availability output determinations. A computing platform may receive a selectable item availability configuration output comprising a configuration update to the selectable item availability output and a selectable item availability content output comprising a content update to the selectable item availability output. Based on the selectable item availability configuration output and the selectable item availability content output, the computing platform may generate an updated selectable item availability output. The computing platform may receive a request to access the selectable item availability output. The computing platform may generate one or more commands to cause display of the updated selectable item availability output and may send, to a user device, the updated selectable item availability output along with the one or more commands.

Processing system having a machine learning engine for providing a selectable item availability output

Display screen with graphical user interface

Display screen with animated graphical user interface

Methods and systems for providing estimated insurance quotes/premiums are described herein. After analyzing rate factors, a subset of rate factors are selected that yield a fairly accurate estimated insurance premium from a minimum amount of information easily obtainable from a user. The user inputs a value from a predetermined set of allowable inputs (value input filter). After receiving and analyzing the user inputs, the system generates one or more estimates and displays the one or more estimates to the user, e.g., via a web page. When multiple estimates are provided, the multiple estimates may differ based on the level of coverage, add-on features, or both. Readily known non-personal identifying information is preferably requested and used, thereby alleviating privacy concerns while still being able to provide an estimate to the user very quickly, e.g., under 30 seconds, once all the requested information is obtained.

Real-time insurance estimate based on non-personal identifying information

Portion of a display screen showing a user interface

Growing community of inventors

Rolling Meadows, IL, United States of America

Dean Krieter