Certain airliners are employing predictive algorithms to help fine-tune their menus, offering passengers selections they're more likely to enjoy, based on factors like routes served and time of day, as well as helping to reduce food waste

Passengers aren't the only ones who struggle with airplane food—airliners themselves face various challenges, like integrating fresh and healthy options with the restrictions of air travel, as well as striking a balance between having too much waste and nowhere to discard it with not having enough for everyone. JetBlue and EasyJet are using an algorithm to help address these concerns as well as focus their in-flight menus, creating selections tailored to the needs of specific routes and customers.

After realizing that its extensive menu requires a lot of guesswork regarding what passengers will be eating and that the unknown variable generates a lot of expensive waste, EasyJet decided to watch flights over four days to generate a consumption algorithm. As for Jetblue, the brand is keeping a detailed log of all of the items it sells on its 70 routes that offer fresh food to help create a data-informed idea for future sales.

Even tailoring flight menus and quantities to time of day significantly helped airliners match their customers' needs. By using these kind of predictive algorithms and exploring the needs and preferences of its passengers, airlines are striving to create a more comfortable and customized in-flight experience while also reducing waste.

JetBlue

EasyJet


Lead image: meals on the plane stock photo from LeQuangNhut/Shutterstock

Passengers aren't the only ones who struggle with airplane food—airliners themselves face various challenges, like integrating fresh and healthy options with the restrictions of air travel, as well as striking a balance between having too much waste and nowhere to discard it with not having enough for everyone. JetBlue and EasyJet are using an algorithm to help address these concerns as well as focus their in-flight menus, creating selections tailored to the needs of specific routes and customers.