Matching past post-approved transactions with past pre-approved transactions using machine learning systems

US11449827B2 · kind B2 · utility

Assignee

• Coupa Software Incorporated · US

Inventors

• Maggie Mae Joy · Crownsville, US
• Daniel Benson · Eagan, US
• Fang Chang · Mountain View, US
• Kiran Ratnapu · San Jose, US
• Ankit Narang · Jalandhar, IN
• Shoan Jain · Oakland, US
• Raghunandan Somaraju · Chilpur, IN
• Prasanna Kumar · Frisco, US
• Angela Welchel · San Lorenzo, US
• Mikin Faldu · San Ramon, US
• Dipeshkumar Vasantbhai Prajapati · Ashti, IN
• Ketan Vasantkumar Darji · Ashti, IN
• Rucha Apte · Foster City, US

Key dates

• Filing date: Nov 6, 2019
• Grant date: Sep 20, 2022
• Expiry date: Apr 21, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/20
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Systems and methods for improving a computing system comparing past post-approved transaction records to past pre-approved transaction records are described herein. In an embodiment, a server stores a first plurality of digital electronic records identifying a plurality of past post-approved transactions by a first entity and a second plurality of digital electronic records for the first entity identifying a plurality of past pre-approved transactions by the first entity. The server uses a first machine learning system to determine that a subset of the first plurality of digital electronic records which identify a subset of the plurality of past post-approved transactions correspond to one or more pre-identified categories and a second machine learning system to match one or more particular digital electronic records of the subset of the first plurality of digital electronic records with one or more records of the second plurality of digital electronic records.