Finnair and the artificial intelligence company Silo.AI built a machine learning artificial intelligence tool that enables the airline to predict possible disruptions to air traffic more accurately. In Finland, this unprecedented solution can for example be used to assess the impact of weather on the punctuality of flights, so that preparations for irregularities can be done in advance.
Flight punctuality is one of the biggest factors that affect customer satisfaction, and weather is one of the biggest factors affecting the punctuality of air travel globally. With Silo.AI’s artificial intelligence solution, Finnair will be able to better prepare for exceptional circumstances caused by weather and plan actions to minimize the impact on customers well in advance.
“We tested the artificial intelligence solution in the pilot phase last winter and the results were encouraging,” says Juha Karstunen, digital transformation lead at Finnair. “The goal is to implement the solution as part of a broader technical reform later this year. We are also developing other intelligent solutions to support decision-making. Exceptional weather conditions are common in air travel, and our goal is always to minimize their impact on our customers’ travel plans.”
Silo.AI is the largest private artificial intelligence laboratory in the Nordics that builds artificial intelligence solutions as a consultancy service for various industries. In the pilot phase of the project, the company utilized Finnair’s historical punctuality data, total runway capacity forecasts, actual weather forecasts as well as past weather forecasts. There was also a warning mechanism built into the artificial intelligence solution that alerts if a certain number of flights are expected to be delayed.
