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Machine Learning Data Messaging for Reservation Management

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Summary

USPTO published patent application US20260099775A1 for a machine learning system managing reservation data with time-based decay logit outputs for dynamic inventory allocation. The system generates graphical user interfaces combining static contracted and dynamic shared reserve inventory views at run-time.

What changed

USPTO published patent application US20260099775A1 for a machine learning computing system configured to render improved graphical user interfaces showing combined static contracted inventory and dynamic shared reserve inventory. The system maintains and trains a machine learning data architecture to generate time-based decay logit outputs populated into an extended data structure representing available offers for re-allocating reservation data objects.

Affected parties including technology companies, software developers, and reservation management system providers should monitor this application for potential patent claims covering ML-based inventory allocation with time-decay algorithms and real-time GUI rendering capabilities.

What to do next

  1. Monitor for patent issuance
  2. Review claims for freedom-to-operate analysis
  3. Assess applicability to reservation management systems

Archived snapshot

Apr 9, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Applications

SYSTEM AND METHODS FOR DATA MESSAGING FOR GLOBALLY MANAGING SEGREGATED RESERVATION DATA

Application US20260099775A1 Kind: A1 Apr 09, 2026

Inventors

Avraam ZOSIMADIS, Dharmesh DAYABHAI, Jonathan BRUCE, Jan Gabriel ONA, Peter SYMANIW, Paul Andrew BIRKBECK

Abstract

A machine learning based computing system that is configured for rendering, at run-time, improved graphical user interfaces showing a combination of static contracted inventory and dynamic shared reserve inventory. A machine learning data architecture is maintained and trained to generate time-based decay logit outputs that are populated into an extended data structure representing available offers for re-allocating reservation data objects in the dynamic shared reserve inventory. At run-time, the graphical user interface renders a combined view that utilizes the time-based decay logit outputs to generate a rendering showing a constrained view of available offers for potential re-allocation of the reservation data objects.

CPC Classifications

G06Q 10/02

Filing Date

2025-10-07

Application No.

19352420

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Last updated

Classification

Agency
USPTO
Published
October 7th, 2025
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US20260099775A1

Who this affects

Applies to
Technology companies Manufacturers
Industry sector
5112 Software & Technology
Activity scope
Patent application Machine learning systems Reservation management
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Data Privacy

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