Topic of the Challenge:
Reducing the ecological footprint of the Airline Industry
Airplane Meal Predictor
Many of us associate an airplane with holidays: destination chosen, tickets bought, luggage packed and off we go. However, behind the scene of every airline many things must be meticulously organised before we can enjoy that relaxed 'take off'. One of the many things in that entire chain is the ability to buy fresh/prepared meals on board. Fresh food gets loaded, sold and at the end of the day the unfortunate waste follows. Tons of fresh meals are thrown in the garbage container, a delicate issue for the Airline Industry. In 2018, airlines generated about 6.7 million tons of cabin waste. (source: The International Air Transport Association)
SAS Viya does the magic
The trick is to be able to predict more accurate the necessary meals on board and that’s where SAS Viya comes in. We will build an AI tool on SAS Viya that uses real airline data to predict the meal requirements of each flight. By reducing food waste and fuel consumption we will obtain a positive environmental impact.