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:
Jan. 10, 2023

Filed:

May. 17, 2021
Applicant:

Coupa Software Inc., San Mateo, CA (US);

Inventor:

Donna Wilczek, San Mateo, CA (US);

Assignee:

COUPA SOFTWARE INCORPORATED, San Mateo, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/445 (2018.01); G06N 20/00 (2019.01); G06F 9/4401 (2018.01); G06N 5/04 (2006.01); H04L 9/40 (2022.01); G06Q 10/06 (2012.01);
U.S. Cl.
CPC ...
G06F 9/44505 (2013.01); G06F 9/4411 (2013.01); G06F 9/4416 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/0633 (2013.01); G06Q 10/06375 (2013.01); G06Q 10/06393 (2013.01); H04L 63/061 (2013.01); H04L 63/104 (2013.01);
Abstract

A method for improving performance of a computer procurement application includes using the procurement control system computer, determining a peer group associated with a first entity; using a procurement control system computer, obtaining, from client computers respectively associated with the entities, configurations that instruct a procurement application how to perform procurement tasks for the respective entities of the entities in the peer group; using a procurement control system computer, obtaining, from a first client computer associated with the first entity, a first configuration that instruct the procurement application how to perform procurement tasks for the first entity; obtaining a desired end result from the first entity; using the procurement control system computer, using a machine learning algorithm, determining configurations of the peer groups that have a causal relationship to the desired end result; providing a description of the configuration value to the client computer associated with the first entity.


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