<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/733F134A-8AC1-4D92-B26B-5E960FE81ABE" ns1:id="733F134A-8AC1-4D92-B26B-5E960FE81ABE"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/FEB93B37-33CD-47D6-A56D-91A076A8D76E" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/1F9EDB02-DFE8-4E02-8EBB-DFE7421FA000" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/A7511831-607B-4196-A226-870292A6A98D" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/1F9EDB02-DFE8-4E02-8EBB-DFE7421FA000" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2021-12-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/5454E77C-2155-4282-B263-6EA78153A45E" ns1:rel="FUND" ns1:start="2020-11-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">53053</ns2:identifier></ns2:identifiers><ns2:title>Using AI To Reduce Uncertainty And Risk In Supply Chains</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Study</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>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.</ns2:abstractText></ns2:project>