NETHERLANDS – KLM, the renowned airline, has made strides in combating food waste through the implementation of Artificial Intelligence (AI) technology.

By leveraging AI algorithms to accurately predict passenger numbers and meal requirements, KLM has achieved a remarkable 63% reduction in food waste, translating to over 100,000 kilograms of meals saved annually.

Marjan Rintel, CEO of KLM, emphasizes the airline’s commitment to digital technology investments, citing AI as a pivotal tool in enhancing flight operations and sustainability efforts.

The innovative AI model, TRAYS, developed specifically for KLM’s catering activities, transforms the way meals are planned and loaded onto flights.

TRAYS utilizes historical data and sophisticated algorithms to forecast the number of passengers boarding each flight accurately.

This information is seamlessly integrated into KLM’s ‘Meals On Board System’ (MOBS), providing detailed passenger estimates for different classes, from Business to Economy.

The AI prediction process begins well in advance, ensuring optimal catering planning and minimizing meal surplus.

The development of TRAYS through the Kickstart AI initiative highlights a collaborative effort among top companies, showcasing the potential of AI in driving operational efficiencies.

An analysis over three months revealed a substantial 63% reduction in food waste compared to traditional meal preparation methods, with impressive savings observed particularly on intercontinental flights departing from Schiphol.

“We are pleased that we have been able to make a valuable contribution to this important project for KLM,” said Sander Stomph, CEO and Co-founder, Kickstart AI.

“Our goal with Kickstart AI is to accelerate the adoption of AI in the Dutch business community and we look forward to working closely with Dutch companies to make this happen.”

Beyond catering, KLM is integrating AI across various operational aspects, from smarter aircraft maintenance to proactive weather disruption simulations for flight scheduling. AI also enhances customer experiences by providing personalized travel advice post-booking.

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