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:
Jul. 14, 2026

Filed:

May. 10, 2022
Applicant:

Amadeus S.a.s., Biot, FR;

Inventors:

Michael Wittman, Copenhagen, DK;

Thomas Fiig, Rungsted Kyst, DK;

Riccardo Jadanza, Biot, FR;

Giovanni Gatti Pinheiro, Biot, FR;

Michael Defoin Platel, Les Adrets de l'Esterel, FR;

Assignee:

Amadeus S.A.S., Biot, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06Q 10/02 (2012.01); G06Q 30/0201 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06Q 10/02 (2013.01); G06Q 30/0206 (2013.01);
Abstract

Systems and methods for implementing a reinforcement machine learning framework for dynamic demand forecasting. A method includes generating estimated booking data for an initial time with a demand model trained using a training set of historical booking data. A variance is detected between the estimated booking data and transient booking data observed at the initial time that exceeds a defined threshold. In response to detecting the variance, a reinforcement learning service is activated. An updated training set including enhanced booking data observed at a subsequent time is created after activating the reinforcement learning service. A parameter of the demand model is updated by training the demand model using the updated training set.


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