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.
Patent No.:
Date of Patent:
Jul. 01, 2025
Filed:
Aug. 31, 2022
Wells Fargo Bank, N.a., San Francisco, CA (US);
Ashish B. Kurani, Hillsborough, CA (US);
James C. Noe, Charlotte, NC (US);
Imran Haider, San Ramon, CA (US);
Frank Fehrenbach, New York, NY (US);
Guruprasadh Ragothaman, San Francisco, CA (US);
Matthew C. Strader, San Francisco, CA (US);
Palani Munuswamy, San Francisco, CA (US);
Chandra Subramanian, San Francisco, CA (US);
George Atala, San Francisco, CA (US);
Mattie L. Morris, Chandler, AZ (US);
Braden More, San Francisco, CA (US);
Lofton Worth, San Francisco, CA (US);
Nathan B. Coles, San Francisco, CA (US);
Wells Fargo Bank, N.A., San Francisco, CA (US);
Abstract
Systems and methods for receiving an enterprise resource dataset includes a plurality of financial inputs captured associated with a customer from an enterprise application associated with the customer, providing the plurality of financial inputs to a machine learning model trained to predict a customer state using a plurality of training financial inputs and a plurality of training financial outputs, each of the plurality of training financial inputs corresponding to financial data and each of the plurality of training financial outputs corresponding with financial data, determining, responsive to providing the plurality of financial inputs to the machine learning model, a future customer state of the customer, including a predicted financial output, at a fourth date, and generating one or more financial recommendations based at least partially on the determined future customer state of the customer.