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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.

Patent No.:

US 12321957 B1

PDFFull Text
Date of Patent:
Jun. 03, 2025

Filed:

Oct. 18, 2022

System and method for assigning agents to critical/high priority supply chain risk use cases

Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Vinu Varghese, Bangalore, IN;

Saran Prasad, New Delhi, IN;

Nirav Jagdish Sampat, Mumbai, IN;

Ujjala Chattopadhyay, Bangalore, IN;

Christina Catharina De Vries, Red Bank, NJ (US);

Selvakuberan Karuppasamy, Chennai, IN;

Anil Kumar, Bangalore, IN;

Dheeraj Kharya, West Mumbai, IN;

Amit Vithoba Patil, Panvel, IN;

Vinay Verma, Mumbai, IN;

Deepam Biswas, Pune Maharashtra, IN;

Assignee:

ACCENTURE GLOBAL SOLUTIONS LIMITED, Dublin, IE;

Attorney:

Mannava & Kang, P.C.

Primary Examiner:

Scott L Jarrett

Int. Cl.
CPC ...
G06Q 30/0202 (2023.01); G06F 40/232 (2020.01); G06F 40/253 (2020.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01); G06Q 10/0631 (2023.01); G06Q 30/0201 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0202 (2013.01); G06F 40/232 (2020.01); G06F 40/253 (2020.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01); G06Q 10/063112 (2013.01); G06Q 30/0201 (2013.01);
Abstract

Systems and methods for managing supply chain of products and services are disclosed herein. A system generates supply chain data based on historical data received from data sources corresponding to supply chain of product or service. Further, system extracts data entity and set of attributes from supply chain data, to determine semantically related data entities. Furthermore, system determines use case corresponding to management of supply chain, based on semantically related data entities. Additionally, system predicts, risk or priority associated with product or service in the supply chain, to generate risks and alerts, based on prediction. Further, system assigns critical and high-priority use case to one or more agents based on a performance score of the one or more agents. Furthermore, system provides insights and suggestions for managing the supply chain of product or service at regional level and global level of supply chain.

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