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:
Aug. 17, 2021

Filed:

Dec. 31, 2019
Applicant:

Noodle Analytics, Inc., San Francisco, CA (US);

Inventors:

Sivantha Devarakonda, San Ramon, CA (US);

Mahriah Elizabeth Alf, South San Francisco, CA (US);

Gaurav Palta, Los Gatos, CA (US);

Assignee:

Noodle Analytics, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2012.01); H04W 4/12 (2009.01); G06Q 10/08 (2012.01); G06N 20/00 (2019.01); G05B 13/02 (2006.01); G06Q 30/02 (2012.01); G06Q 50/04 (2012.01); G06Q 50/28 (2012.01); G06F 3/0486 (2013.01); G06F 3/0488 (2013.01);
U.S. Cl.
CPC ...
G06Q 10/06375 (2013.01); G05B 13/028 (2013.01); G06F 3/0486 (2013.01); G06F 3/04883 (2013.01); G06N 20/00 (2019.01); G06Q 10/0635 (2013.01); G06Q 10/06312 (2013.01); G06Q 10/06393 (2013.01); G06Q 10/087 (2013.01); G06Q 10/0834 (2013.01); G06Q 10/0838 (2013.01); G06Q 10/08355 (2013.01); G06Q 30/0205 (2013.01); G06Q 30/0206 (2013.01); G06Q 50/04 (2013.01); G06Q 50/28 (2013.01); H04W 4/12 (2013.01); G06Q 10/083 (2013.01);
Abstract

Methods and systems for controlling inventory in a supply chain are described. The system receives supply chain data including input signals comprising operational plans and observed supply chain operational metrics. The system automatically generates predicted supply chain operational metrics including a value at risk that is predicted for a product. The system automatically infers causal factors including a shipment of the product. The causal factors impact the predicted supply chain operational metrics. The system communicates a user interface for shipments of the product and the system receives input causing a change to a shipment of the product impacting the predicted supply chain operational metrics including the value at risk for the first product.


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