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Transaction Data Processing Systems And Methods

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Summary

The USPTO published patent application US20260099885A1 on April 9, 2026, filed December 10, 2025, by nine inventors led by Delia Rusu. The application discloses an AI-based transaction data processing system using numerical representation generation models trained on historical transaction records and transaction attribute prediction models trained on previously reconciled financial records.

Published by USPTO on changeflow.com . Detected, standardized, and enriched by GovPing. Review our methodology and editorial standards .

What changed

The USPTO published a new patent application disclosing an AI-based transaction data processing method. The system uses two machine learning components: a numerical representation generation model trained on historical transaction records and a transaction attribute prediction model trained on previously reconciled financial records. Financial technology companies and software developers building automated reconciliation or transaction classification systems should note this application as prior art for any overlapping AI-driven financial data processing systems.

Archived snapshot

Apr 21, 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

Transaction Data Processing Systems And Methods

Application US20260099885A1 Kind: A1 Apr 09, 2026

Inventors

Delia Rusu, Hayden Jeune, Rebecca Dridan, Soon-Ee Cheah, Brett Calcott, Zhimin Wang, Quentin-Gabriel Thurier, Fubiao Qin, Niklas Patrick Pechan

Abstract

A method comprises: determining a candidate financial record associated with a transaction between a first accounting entity and a second entity; determining, using a numerical representation generation model, a numerical representation of the candidate financial record, the numerical representation generation model having been trained on a corpus generated from historical transaction records; providing, to a transaction attribute prediction model, the numerical representation of the candidate financial record, the transaction attribute prediction model having been trained using a dataset of previously reconciled financial records, each associated with a respective first transaction attribute; determining, by the transaction attribute prediction model, at least one first transaction attribute associated with the candidate financial record.

CPC Classifications

G06Q 40/12 G06F 40/279 G06F 40/284 G06F 40/30 G06N 20/00

Filing Date

2025-12-10

Application No.

19414561

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Last updated

Classification

Agency
USPTO
Published
April 9th, 2026
Instrument
Notice
Branch
Executive
Legal weight
Non-binding
Stage
Final
Change scope
Minor

Who this affects

Applies to
Technology companies Financial advisers
Industry sector
5112 Software & Technology
Activity scope
AI and machine learning Financial transaction processing
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Financial Services

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