US 12,412,219 B2
Targeted event monitoring and loss mitigation system
Theo Patt, Stanford, CA (US); and Justin Lewis-Weber, Stanford, CA (US)
Assigned to Assured Insurance Technologies, Inc., Stanford, CA (US)
Filed by Assured Insurance Technologies, Inc., Stanford, CA (US)
Filed on Jun. 6, 2024, as Appl. No. 18/735,895.
Application 18/735,895 is a continuation of application No. 17/500,674, filed on Oct. 13, 2021, granted, now 12,039,609.
Prior Publication US 2024/0320756 A1, Sep. 26, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 40/08 (2012.01)
CPC G06Q 40/08 (2013.01) 20 Claims
OG exemplary drawing
 
1. A computing system implementing a targeted event monitoring and alert service, comprising:
a network communication interface to communicate, over one or more networks, with (i) computing devices of users of the targeted event monitoring and alert service, and (ii) computing systems of one or more monitoring services;
one or more processors; and
a memory storing instructions that, when executed by the one or more processors, cause the computing system to:
receive, over the one or more networks, monitoring data from the one or more monitoring services;
based on the monitoring data, determine that an event will occur in a given area;
based on the event, access historical data to identify a set of historical events having a set of similar properties to the event;
based at least in part on the set of historical events and the event, generate a severity heat map providing a predicted severity index of the event for the given area;
determine a subset of the users that each have one or more properties within one or more sub-areas of the given area;
determine property information for each property of the subset of users that is within one of the sub-areas of the given area, the property information indicating unique attributes of a property of the respective user;
for each respective user of the subset of users, and based on a location of the property of the respective user within the severity heat map, initiate an interactive session for the respective user, wherein initiating the interactive session comprises:
initiating a content generator to generate a graphical user interface unique to the respective user for display on a computing device of the respective user, the graphical user interface comprising personalized interactive content providing the respective user with (i) contextual information regarding the event, and (ii) individualized risk information corresponding to potential risks to the unique attributes of the property of the respective user resulting from the event, wherein the personalized interactive content further includes a content flow comprising interactive user interface features that include mitigative action items based on the unique attributes of the property of the respective user that enables the respective user to provide feedback indicating whether the respective user has performed each of the mitigative action items; and
initiating a live engagement monitor comprising a machine learning model to (i) receive, over the one or more networks, engagement data from the computing device of the respective user in real-time, the engagement data indicating interactions by the respective user with the personalized interactive content displayed on the computing device of the respective user, and (ii) based on the engagement data from the computing device of the respective user, provide one or more engagement triggers to the content generator to cause the content generator to dynamically adapt the content flow comprising the interactive user interface features presented on the graphical user interface to increase user engagement by the respective user with the personalized interactive content and encourage performance of the mitigative action items, wherein dynamically adapting the content flow includes dynamically adapting an ordering, design, and styling of the personalized interactive content.