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:
Sep. 29, 2026

Filed:

May. 11, 2022
Applicant:

The Boeing Company, Chicago, IL (US);

Inventors:

Andrea Sanzone, Neu-Isenburg, DE;

Millie Sterling, Neu-Isenburg, DE;

Rahul Ashok, Singapore, SG;

Rowena Loh, Singapore, SG;

Assignee:

THE BOEING COMPANY, Chicago, IL (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/0631 (2023.01); G06Q 10/087 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/06315 (2013.01); G06Q 10/087 (2013.01);
Abstract

The present disclosure provides for using machine learning to evaluate flight demographics and predict part consumption. Historical aircraft part consumption data indicating prior consumption of aircraft parts is accessed, and historical aircraft flight demographics associated with the historical aircraft part consumption data are determined. A machine learning model is trained based on the historical aircraft part consumption data and the historical aircraft flight demographics, and the machine learning model is deployed to predict future aircraft part consumption.


Find Patent Forward Citations

Sanzone, Andrea. (2026). Machine learning to predict part consumption using flight demographics (U.S. Patent No. 12749034). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12749034

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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