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:
Dec. 06, 2022

Filed:

May. 07, 2019
Applicant:

Sap SE, Walldorf, DE;

Inventor:

Michael Mueller, Heidelberg, DE;

Assignee:

SAP SE, Walldorf, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2006.01); G06F 16/2457 (2019.01); G06F 30/20 (2020.01); G06Q 10/08 (2012.01); G06Q 10/06 (2012.01); G06Q 10/04 (2012.01);
U.S. Cl.
CPC ...
G06N 5/025 (2013.01); G06F 16/24578 (2019.01); G06F 30/20 (2020.01); G06Q 10/04 (2013.01); G06Q 10/0631 (2013.01); G06Q 10/0639 (2013.01); G06Q 10/06312 (2013.01); G06Q 10/06316 (2013.01); G06Q 10/087 (2013.01);
Abstract

A computer-implemented method can receive a new plan deviation alert having a deviation level that quantifies a mismatch between expected supply chain parameters specified by a supply chain plan and observed supply chain parameters. Responsive to the new plan deviation alert, the method can perform a rule-based search to find a plurality of potential remediation solutions to correct the mismatch. The method can simulate implementation of the potential remediation solutions and evaluate expended resources associated with them. Based on the evaluated expended resources, the method can generate a ranked list of candidate remediation solutions and display the ranked list of candidate remediation solutions in a user interface. The method can receive a selected remediation solution from the ranked list of candidate remediation solutions for initiation. Machine learning can be used on an expert user's selection to adapt to the expert's preferences and provide more relevant remediation solutions.


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