MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611048896 A) filed by Noida Institute Of Engineering & Technology, Greater Noida, Uttar Pradesh, on April 17, for 'an intelligent supply chain optimization system using machine learning.'
Inventor(s) include Dr. Deepti; and Upasna.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "An intelligent supply chain optimization system includes a data acquisition interface (101), a data normalization engine (102), a feature construction module (103), a machine learning prediction engine (104), a constraint matrix manager (105), an optimization controller (106), a disruption assessment module (107), and a decision output interface (108). Heterogeneous supply chain records are standardized, transformed into analytical variables, and processed to obtain predictive indicators. Constrained optimization generates ranked actions for procurement, inventory, and logistics. Exception events are evaluated to produce mitigation recommendations, enabling adaptive, traceable, and scalable supply chain decision support."
Disclaimer: Curated by HT Syndication.
