US 11,676,088 B2
Systems and methods for distributed risk analysis
Christina Nelson, Alexandria, VA (US); Kshithi Venkatesh, Bentonville, AR (US); Clinton Preston, Cave Springs, AR (US); and Shekar Dadi, Bentonville, AR (US)
Assigned to Walmart Apollo, LLC, Bentonville, AR (US)
Filed by Walmart Apollo, LLC, Bentonville, AR (US)
Filed on Feb. 14, 2022, as Appl. No. 17/670,839.
Application 17/670,839 is a continuation of application No. 16/670,704, filed on Oct. 31, 2019, abandoned.
Claims priority of provisional application 62/753,636, filed on Oct. 31, 2018.
Prior Publication US 2022/0253764 A1, Aug. 11, 2022
Int. Cl. G06Q 10/0635 (2023.01); G06N 20/00 (2019.01); G06F 16/28 (2019.01)
CPC G06Q 10/0635 (2013.01) [G06F 16/285 (2019.01); G06N 20/00 (2019.01)] 19 Claims
OG exemplary drawing
 
1. A system for performing distributed risk analysis, the system comprising:
a database configured to store data files;
a risk analysis module executable by at least one processor, the risk analysis module communicatively coupled to a plurality of third party sources associated with a plurality of geographical locations, the risk analysis module when executed:
aggregates a plurality of data files from the plurality of third party sources, the data files associated with news articles and risk values,
classifies the plurality of data files based on subject matter, and
stores the plurality of data files into the database;
a user dashboard executing on a computing device and communicatively coupled to the risk analysis module, the user dashboard configured to:
display, based on subject matter and risk value, at least one article associated with a data file,
receive a first selection of the at least one article to initiate an event;
wherein a second selection is received to display a selection of the news articles and the second selection is effective to create a software filter, the software filter when executed filtering the news articles based upon one or more of a category, a geography, a time range, a predetermined numbered articles, and a user location, wherein the user location is determined by a GPS system;
wherein the user dashboard displays a dynamic risk map that indicates risk trends, the risk map including multiple geographic entities, each of the entities having an associated risk score, the risk score being determined by multiple external entities, wherein each risk score after being received is normalized to a common scale, wherein viewable characteristics of each of the multiple geographic entities rendered on the risk map depend upon the associated risk score for the geographic entity.