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:
May. 31, 2022

Filed:

Jul. 02, 2020
Applicant:

Bank of America Corporation, Charlotte, NC (US);

Inventors:

John Allen Sellers, Kennett Square, PA (US);

Charles Jason Burrell, Middleburg, FL (US);

Assignee:

BANK OF AMERICA CORPORATION, Charlotte, NC (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/04 (2012.01); H04L 9/40 (2022.01); G06Q 40/02 (2012.01); G06Q 30/02 (2012.01); G06N 20/00 (2019.01); G06Q 10/06 (2012.01); G06F 11/34 (2006.01); G06F 11/30 (2006.01); G06Q 30/00 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/04 (2013.01); G06F 11/3006 (2013.01); G06F 11/3438 (2013.01); G06N 20/00 (2019.01); G06Q 10/06315 (2013.01); G06Q 30/0185 (2013.01); G06Q 30/0201 (2013.01); G06Q 40/02 (2013.01); H04L 63/102 (2013.01);
Abstract

Systems, computer program products, and methods are described herein for predictive resource access within a technical environment. The present invention is configured to initiate a resource monitoring engine on a resource procurement profile associated with a user; receive information associated with one or more resources accessed by the user over a predetermined past period of time; receive information associated with one or more user characteristics associated with the user; initiate one or more machine learning algorithms on the one or more resources and the information associated with one or more user characteristics; generate, using the one or more machine learning algorithms, a forecasting model configured to predict one or more future resources accessible to the user at a predetermined future time; and initiate a resource transformation engine on the one or more future resources predicted to be accessible to the user at the predetermined future time.


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