KLM has successfully implemented artificial intelligence to combat food waste on its flights. The airline has developed an AI model called TRAYS, which accurately predicts the number of passengers who will actually board a flight. This innovative approach allows KLM to calculate the exact number of meals required, resulting in up to 63% less food waste based on expected passenger numbers per flight. On an annual basis, this translates to savings of more than 100,000 kg of meals. The AI model, developed in collaboration with Kickstart AI, starts predicting passenger numbers 17 days before departure and continues until 20 minutes before the flight leaves, ensuring the most accurate forecast throughout the entire catering process.
Expanding AI Applications Across Operations
KLM’s commitment to digital technology and artificial intelligence extends beyond food waste reduction. The airline is actively applying AI to other aspects of its operations, including aircraft maintenance and flight scheduling during adverse weather conditions. By simulating predicted bad weather days, KLM can determine the best schedule to maintain as many flights as possible. Additionally, AI programs are being used to enhance customer experience by providing personalized travel tips after booking. These initiatives demonstrate KLM’s dedication to improving flight operations, sustainability, and customer service through innovative technology. The success of the TRAYS model, which has shown significant improvements, particularly on intercontinental flights from Schiphol, exemplifies the potential of AI in creating more efficient and sustainable airline operations.
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