KLM cuts down inflight food waste: See how

KLM Royal Dutch Airlines is making use of Artificial Intelligence (AI) to reduce food waste on its flights.

The use of digital technology helps the airline to meet its sustainability targets as well as to cut costs for the airline.

KLM’S CALCULATES MEAL REQUIREMENTS

KLM uses artificial intelligence to determine the number of meals needed on board, to help combat food waste.

This allows the exact number of inflight meals that are needed to be calculated.

KLM USES AI TO FORECAST

AI programs are helping KLM to predict how many booked passengers, will board their flights.

Indeed, not all flight bookings made result in passengers taking their seats on a flight.

Data shows that between 3 and 5% of booked passengers do not show up for flights.

Therefore, KLM is able to cut food waste on passenger flights.

REDUCING FOOD WASTE AT KLM

Reports indicate that 25% of the waste from flights is untouched food.

With the help of AI, KLM achieves up to 63% less food waste, based on the expected number of passengers per flight.

On an annual basis, this amounts to savings of more than 100 000 kg of food for the airline.

USING HISTORICAL DATA

The AI model predicts the number of passengers on board based on historical data, according to Aircraftinteriorsinternational.

KLM’s Meals On Board System (MOBS) receives the expected passenger numbers per flight with separate forecasts for the various classes on a flight.

The AI model starts predicting passenger numbers 17 days before flights and continues until 20 minutes before the flight departs.

This means the that airline can accurately predict the possible number of passengers on flights for its catering processes, thus preventing wasted food.

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