The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 05, 2022

Filed:

May. 14, 2019
Applicant:

Pushr Technology, Inc., Seattle, WA (US);

Inventor:

Anthony Joseph Suarez, Seattle, WA (US);

Assignee:

PEAKIO, INC., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); H04L 51/00 (2022.01); G06N 3/04 (2006.01); G06F 16/22 (2019.01);
U.S. Cl.
CPC ...
H04L 51/14 (2013.01); G06F 16/22 (2019.01); G06N 3/04 (2013.01); H04L 63/08 (2013.01);
Abstract

A method of providing a distributed messaging system to aggregate particular types of messages regarding a client from customers of said client and for generating response and informational messages to the customers is provided. The method is performed in a distributed system comprising one or more processors executing computer instructions and one or more non-transitory computer readable media with computer executable instructions stored thereon executed by the one or more processors to provide the method. The method comprises the steps of: receiving and securely storing client account credentials of the client for a group of client determined user accounts comprising predetermined ones of social media and email accounts of the client; utilizing the client account credentials to access the user accounts; capturing all customer messages received at the user accounts; filtering all the captured messages for predetermined keywords; aggregating the filtered customer messages in a database; and determining severity, trust and validity of the filtered customer messages.


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