<?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="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/200636AD-D34E-424E-BB5F-552FB3437890" ns1:id="200636AD-D34E-424E-BB5F-552FB3437890"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/38CF3AB0-B06C-4A19-ACD0-386A7C74160F" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/8763A846-6CA7-45EA-9308-3A0390D60F5D" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/38CF3AB0-B06C-4A19-ACD0-386A7C74160F" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2022-01-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/49197767-722D-4ADE-B725-0EF696D0D882" ns1:rel="FUND" ns1:start="2019-07-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">511606</ns2:identifier></ns2:identifiers><ns2:title>University of Leeds and Clipper Logistics plc</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To develop and deploy models, incorporating predictive analytics techniques, that will significantly improve the processing efficiency and reduce the costs involved in handling product returns arising from fast fashion e-commerce transactions.</ns2:abstractText></ns2:project>