Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114698
DC FieldValueLanguage
dc.creatorFung, Clare-
dc.creatorLo, Ada-
dc.identifier.urihttps://oer.lib.polyu.edu.hk/concern/works/0r967427q-
dc.language.isoeng-
dc.publisherHong Kong Polytechnic University-
dc.subjectHotels -- Environmental aspects-
dc.subjectRestaurants -- Environmental aspects-
dc.subjectCost control-
dc.subjectArtificial intelligence-
dc.subjectFood waste-
dc.subjectRestaurant management-
dc.titleWinnow AI Food Waste Reduction: A Case of Marriott UK, Ireland and Nordics-
dc.typeCase Study-
dc.typeOER-
dcterms.abstractMarriott UK, Ireland, and Nordics partnered with Winnow to implement AI food waste reduction technology in 53 hotels, achieving a 25% reduction in food waste within six months. Winnow’s system uses computer vision and weighing scales to identify discarded food, assign costs, and generate real-time data and detailed reports. These insights help chefs and managers adjust menus and portion sizes, saving up to 8% on food purchasing. Staff receive coaching to maximize ingredient use and promote zero waste. However, the technology cannot yet process mixed food types, requiring manual separation by staff until further improvements are made.-
dcterms.issued2025-
Appears in Collections:Open Educational Resources
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