Invention Grant
- Patent Title: Predicting a supply chain performance
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Application No.: US16731813Application Date: 2019-12-31
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Publication No.: US11282022B2Publication Date: 2022-03-22
- Inventor: Sivantha Devarakonda , James Snyder, Jr. , Gaurav Palta
- Applicant: Noodle Analytics, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Noodle Analytics, Inc.
- Current Assignee: Noodle Analytics, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06Q10/06
- IPC: G06Q10/06 ; H04W4/12 ; G06Q10/08 ; G06N20/00 ; G05B13/02 ; G06F3/0486 ; G06F3/04883 ; G06Q30/02 ; G06Q50/04 ; G06Q50/28

Abstract:
Methods and systems to predict a supply chain performance are described. A system receives supply chain data for delivery of a product. The supply chain data includes input signals comprising operational plans and observed supply chain operational metrics. The input signals include a delivery date of the product. The system automatically generating predicted supply chain operational metrics across including a value at risk that is predicted for the product. The system automatically infers causal factors that impact the predicted supply chain operational metrics including impacting the value at risk that is predicted for the product. The system automatically generates action recommendations for the supply chain. An action recommendation includes a first predicted value impact and a sequence of actions impacting the product the delivery date of the product and the value at risk that is predicted for the product.
Public/Granted literature
- US20200210922A1 PREDICTING A SUPPLY CHAIN PERFORMANCE Public/Granted day:2020-07-02
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