{"id":242317,"date":"2024-02-09T06:59:00","date_gmt":"2024-02-09T05:59:00","guid":{"rendered":"https:\/\/www.travelreport.se\/?p=242317"},"modified":"2024-02-28T02:38:15","modified_gmt":"2024-02-28T01:38:15","slug":"klm-reduces-food-waste-with-ai","status":"publish","type":"post","link":"https:\/\/www.travelreport.se\/en\/klm-minskar-matsvinnet-med-ai\/","title":{"rendered":"KLM reduces food waste with AI"},"content":{"rendered":"
\"\"
Photo: KLM<\/figcaption><\/figure>\n\n\n\n

\u201dIn collaboration with Kickstart AI. Thanks to the improved forecasts, we have succeeded in reducing food waste by 63 percent. This also reduces the weight on board and therefore fuel consumption. Investing in new technology that contributes to more sustainable development feels good and important,\u201d says Maria Hagelberg, responsible for sustainability issues for Air France and KLM in Northern Europe.<\/p>\n\n\n\n

KLM is working with AI to calculate the number of meals needed on board. The reason for this is that not all booked passengers turn up. Depending on the booking class, this can vary between 3 \u2013 5 per cent.<\/p>\n\n\n\n

The AI model (TRAYS) is the first to be specifically developed for KLM\u2019s meal handling and it predicts the number of passengers on board based on historical data. The Meals On Board System (MOBS) receives the expected number of passengers per flight based on Business, Premium Comfort and Economy. The forecast starts 17 days before departure and continues until 20 minutes before the flight departs. This means that the most accurate number of passengers is part of the entire catering process from procurement to on-board delivery, and a surplus of meals on board is avoided. The AI model TRAYS was launched at the end of last year by Kickstart AI. The initiative has gathered knowledge from leading companies such as Ahold Delhaize, bol, NS and ING, as well as KLM to develop this model.<\/p>\n\n\n\n

A three-month analysis shows that 63 percent less food has been wasted compared to catering calculated for each booked passenger. The biggest difference is noticeable on KLM's long-haul flights from Schiphol, where 2.5 fewer meals (1.3 kg) are thrown away per flight. Over a year, this means that 111,000 kg of meals are saved on KLM flights departing from Schiphol.<\/p>","protected":false},"excerpt":{"rendered":"

I samarbetet med Kickstart AI. Tack vare de f\u00f6rb\u00e4ttrade prognoserna har vi lyckats minska matsvinnet med 63 procent. Dettta minskar \u00e4ven vikten ombord och d\u00e4rmed br\u00e4nsle\u00e5tg\u00e5ngen. Att investera i ny teknik som bidrar till en mer h\u00e5llbarutveckling k\u00e4nns bra och viktigt\u201d, s\u00e4ger Maria Hagelberg ansvarig f\u00f6r h\u00e5llbarhetsfr\u00e5gor f\u00f6r Air France och KLM i Norra Europa. […]<\/p>\n","protected":false},"author":25,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4080,4078],"tags":[80,295,58,4097],"class_list":["post-242317","post","type-post","status-publish","format-standard","hentry","category-flyg-2","category-nyheter","tag-ai","tag-klm","tag-mat","tag-matsvinnet"],"acf":[],"yoast_head":"\nKLM minskar matsvinnet med AI – Travel Report<\/title>\n<meta name=\"description\" content=\"KLM minskar matsvinnet med AI \u2013 L\u00e4s senaste nyheterna fr\u00e5n resebranschen p\u00e5 Travel Report.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.travelreport.se\/en\/klm-reduces-food-waste-with-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta 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