KLM, the national airline of the Netherlands, is taking innovative steps to minimize waste in its inflight catering services through the implementation of artificial intelligence (AI) technologies. By utilizing AI programs, KLM aims to accurately forecast the number of passengers who will actually board their flights, a task that is more complex than it may seem. This prediction takes into account various factors, such as travel class and historical data, and estimates that approximately 3-5% of booked passengers will not show up on time for their flight.
To achieve this, KLM has adopted the Trays AI model, developed in collaboration with companies including Bol, Ahold Delhaize, NS, and ING. This AI model leverages historical data to predict the passenger count for each flight. KLM’s Meals On Board System (MOBS) receives the AI-generated forecasts, providing separate estimates for the Business, Premium Comfort, and Economy classes. The predictions begin 17 days before departure and continue until just 20 minutes before takeoff, ensuring the most accurate passenger count and minimizing food wastage throughout the entire catering process, from procurement to loading.
These efforts are expected to result in significant reductions in food waste, with KLM estimating potential savings of up to 63% based on the predicted number of passengers per flight. This equates to over 100,000 kilograms of meals saved annually. Confirmation of the Trays system’s effectiveness came from a three-month analysis conducted by KLM, demonstrating that the AI model could have prevented 63% of food wastage when compared to catering for every booked passenger. Particularly noteworthy were the improvements on intercontinental KLM flights from Amsterdam Airport Schiphol, where 2.5 fewer meals (approximately 1.3 kilograms) would be discarded per flight, totaling 111,000 kilograms of saved meals annually across all Schiphol-catered KLM flights.
Beyond inflight catering, KLM is exploring the integration of AI in various aspects of its operations. This includes aircraft maintenance and the creation of personalized travel suggestions for customers. Additionally, AI programs are being utilized to simulate potential weather disruptions, allowing KLM to proactively manage flight schedules and minimize disruptions caused by adverse weather conditions. With these advancements, KLM continues to lead the aviation industry in its commitment to efficiency, sustainability, and providing an exceptional travel experience for its passengers.
An FAQ section based on the main topics and information presented in the article:
Q: What steps is KLM taking to minimize waste in its inflight catering services?
A: KLM is implementing artificial intelligence (AI) technologies to accurately forecast the number of passengers who will board their flights.
Q: How does KLM utilize AI programs in its forecasting?
A: KLM uses an AI model called Trays, developed in collaboration with other companies, which leverages historical data to predict passenger counts for each flight.
Q: How does KLM’s Meals On Board System (MOBS) benefit from the AI-generated forecasts?
A: MOBS receives the AI-generated forecasts and provides separate estimates for Business, Premium Comfort, and Economy classes. These estimates help minimize food wastage throughout the entire catering process.
Q: What reductions in food waste does KLM estimate with the AI implementation?
A: KLM estimates potential savings of up to 63% based on the predicted passenger count per flight, resulting in over 100,000 kilograms of meals saved annually.
Q: How effective is the Trays system in reducing food wastage?
A: KLM’s three-month analysis showed that the AI model could have prevented 63% of food wastage compared to catering for every booked passenger.
Q: What other areas is KLM exploring for AI integration?
A: KLM is exploring the integration of AI in aircraft maintenance, personalized travel suggestions for customers, and simulating potential weather disruptions to proactively manage flight schedules.
Definitions for key terms:
– Inflight catering services: The provision of food and beverages to passengers during a flight.
– Artificial intelligence (AI): The simulation of human intelligence in machines that are programmed to think and learn like humans.
– Trays AI model: The AI model developed by KLM in collaboration with other companies to predict passenger counts for flights.
– Historical data: Past data collected over a period of time that is used for analysis and predictions.
– Food wastage: The act of throwing away or discarding food that could still be consumed.
– Aircraft maintenance: The process of inspecting, repairing, and servicing aircraft to ensure their airworthiness and safety.
– Personalized travel suggestions: Tailored recommendations or suggestions provided to customers based on their preferences and travel history.
– Adverse weather conditions: Weather conditions that are unfavorable or pose risks, such as storms, heavy rainfall, or strong winds.
Suggested related links:
– KLM Official Website
– Bol
– Ahold Delhaize
– NS
– ING
The source of the article is from the blog agogs.sk