Coupa Software Incorporated
MATCHING PAST POST-APPROVED TRANSACTIONS WITH PAST PRE-APPROVED TRANSACTIONS USING MACHINE LEARNING SYSTEMS

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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.

Status:
Application
Type:

Utility

Filling date:

6 Nov 2019

Issue date:

3 Dec 2020