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 NetherlandsRoyal AirwaysThe company is leveraging AI Big ModelReduce food waste on airplanes.
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.Reduced food waste by 63%.
▲ Image source: KLM Royal Dutch Airlines
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.Model prediction starts 17 days before flight departure and ends 20 minutes before departure.
IT Home Note: Generally speaking, not all passengers who book tickets will eventually board the plane.
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. "Reducing food waste is a good example.Tens of thousands of meals can be wasted on board every year. "
The three-month investigation showed thatCompared with preparing meals for each passenger who booked a ticket, the model prediction saved 63% of foodThe results were particularly significant on KLM’s intercontinental flights departing from Schiphol Airport, with 2.5 fewer meals (1.3 kg) thrown away per flight.