Using AI To Reduce Uncertainty And Risk In Supply Chains
Lead Participant:
VERSED AI
Abstract
This project is a collaboration between Versed AI, an award-winning artificial intelligence company which has recently spun out of the University of Cambridge, and Cambridge's world-leading Institute for Manufacturing.
The project creates a platform for corporate supply chain risk management using data generated through artificial intelligence, specifically natural language processing. Using NLP, Versed AI can extract buyer-supplier relationships from text documents, which will then be mapped into a large knowledge graph, with a user interface providing insights and analytics. This 'outside-in' supply chain information will materially improve transparency and risk management.
The University of Cambridge will generate management research into the application of novel technologies in supply chain management.
The project creates a platform for corporate supply chain risk management using data generated through artificial intelligence, specifically natural language processing. Using NLP, Versed AI can extract buyer-supplier relationships from text documents, which will then be mapped into a large knowledge graph, with a user interface providing insights and analytics. This 'outside-in' supply chain information will materially improve transparency and risk management.
The University of Cambridge will generate management research into the application of novel technologies in supply chain management.
Lead Participant | Project Cost | Grant Offer |
---|---|---|
VERSED AI | £221,444 | £ 155,011 |
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Participant |
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VERSED AI LTD | ||
UNIVERSITY OF CAMBRIDGE | £73,415 | £ 73,415 |
People |
ORCID iD |
Fenella Boyle (Project Manager) |