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:
Mar. 25, 2025

Filed:

Nov. 02, 2018
Applicant:

Xerox Corporation, Norwalk, CT (US);

Inventors:

Jonathan Levine, Rochester, NY (US);

Ray Uri Merriam, Rochester, NY (US);

Stephen Kyle Korndoerfer, West Henrietta, NY (US);

Larry Glass, Pittsford, NY (US);

Michael Wiseman, Webster, NY (US);

Vijayakrishna Nama, Webster, NY (US);

Joseph Martin St. Germaine, Fairport, NY (US);

Assignee:

Xerox Corporation, Norwalk, CT (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 7/01 (2023.01); G06Q 10/08 (2024.01);
U.S. Cl.
CPC ...
G06N 7/01 (2023.01); G06Q 10/08 (2013.01);
Abstract

Methods and systems for automatically predicting the probability of regulatory compliance approval based on data contained in a data structure. A data structure can be configured to include data collated and collected from one or more regulators (e.g., regulatory agencies) and one or more value chain participants. Such data is inclusive of data indicative of actual approval-request results of applications for regulatory approval by one or more regulators and variable weights assigned to different data elements. A prediction can be then made as to the probability that an application for regulatory approval by a value chain participant will be approved by a regulator based on the data collated and collected and contained in the data structure. This approach predicts the probability that an application for regulatory approval by a value chain participant will be approved and also predicts what is missing for a regulatory approval application.


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