{"id":4951,"date":"2024-03-06T09:41:29","date_gmt":"2024-03-06T01:41:29","guid":{"rendered":"https:\/\/www.1ai.net\/?p=4951"},"modified":"2024-03-06T09:41:29","modified_gmt":"2024-03-06T01:41:29","slug":"%e8%8a%82%e7%b2%ae%e6%96%b0%e6%8b%9b%ef%bc%9a%e8%8d%b7%e5%85%b0%e7%9a%87%e5%ae%b6%e8%88%aa%e7%a9%ba%e7%94%a8-ai-%e7%a1%ae%e5%ae%9a%e9%a3%9e%e6%9c%ba%e9%a4%90%e9%a3%9f%e6%95%b0","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/4951.html","title":{"rendered":"A new way to save food: KLM Royal Dutch Airlines uses AI to determine the number of in-flight meals, claiming it can reduce food waste by 63%"},"content":{"rendered":"<p data-vmark=\"538c\">Today, society advocates saving food, so what effect will it have if artificial intelligence is used to save food? According to a report by China Civil Aviation Network today, the Netherlands<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e7%9a%87%e5%ae%b6%e8%88%aa%e7%a9%ba\" title=\"[Sees articles with tags]\" target=\"_blank\" >Royal Airways<\/a>The company is leveraging <a href=\"https:\/\/www.1ai.net\/en\/tag\/ai%e5%a4%a7%e6%a8%a1%e5%9e%8b\" title=\"[View articles tagged with [AI Big Model]]\" target=\"_blank\" >AI Big Model<\/a>Reduce food waste on airplanes.<\/p>\n<p data-vmark=\"4718\">Specifically, the airline has introduced an AI model called TRAYS, which can more accurately predict the actual number of passengers who have purchased tickets and will board the plane. As a result, the exact number of meals required can be calculated based on the expected number of passengers on each flight.<span class=\"accentTextColor\">Reduced food waste by 63%<\/span>.<\/p>\n<p data-vmark=\"838e\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4952\" title=\"684af5f2-a701-4013-8a4b-f01626225641\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/03\/684af5f2-a701-4013-8a4b-f01626225641.jpg\" alt=\"684af5f2-a701-4013-8a4b-f01626225641\" width=\"960\" height=\"480\" \/><\/p>\n<p>\u25b2 Image source: KLM Royal Dutch Airlines<\/p>\n<p data-vmark=\"7b23\">TRAYS can predict the number of passengers boarding based on historical data. The in-flight catering system accepts the predicted number of passengers boarding in three different cabins: World Business Class, Premium Economy Class, and Economy Class on each flight.<span class=\"accentTextColor\">Model prediction starts 17 days before flight departure and ends 20 minutes before departure<\/span>.<\/p>\n<p data-vmark=\"3ce7\">IT Home Note: Generally speaking, not all passengers who book tickets will eventually board the plane.<\/p>\n<p data-vmark=\"0ccd\">According to KLM CEO Marjan Rintel, investing in digital technology is a top priority for KLM, and the use of artificial intelligence can greatly improve the efficiency of flight operations and make them more sustainable. &quot;Reducing food waste is a good example.<span class=\"accentTextColor\">Tens of thousands of meals can be wasted on board every year<\/span>. &quot;<\/p>\n<p data-vmark=\"dc78\">The three-month investigation showed that<span class=\"accentTextColor\">Compared with preparing meals for each passenger who booked a ticket, the model prediction saved 63% of food<\/span>The results were particularly significant on KLM\u2019s intercontinental flights departing from Schiphol Airport, with 2.5 fewer meals (1.3 kg) thrown away per flight.<\/p>","protected":false},"excerpt":{"rendered":"<p>Today's society advocates saving food, so what effect will saving food through artificial intelligence have? KLM Royal Dutch Airlines is reducing food waste on airplanes with the help of an AI big model, according to a report on China Civil Aviation Network today. Specifically, the airline has introduced an AI model called TRAYS, which can more accurately predict the actual number of passengers who have purchased tickets. As a result, the exact number of meals required for each flight can be calculated based on the estimated number of boarding passengers, reducing food waste by 63%. The KLM Royal Dutch Airlines TRAYS system can predict the number of passengers that will board a flight based on historical data. The onboard meal system accepts the predicted number of passengers boarding each flight in three different classes: Business, Premium Economy and Economy, and the model predicts the number of passengers boarding a flight from the time of departure.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[433,1504],"collection":[],"class_list":["post-4951","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-1504"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/4951","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=4951"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/4951\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=4951"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=4951"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=4951"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=4951"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}