Volotea uses AI aircraft performance models to cut fuel costs
Volotea uses StorkJet's aircraft performance models, built with AI, fuel analysis and pilot app to plan fuel and guide pilots. Its own flight operations team has described measured savings from the tools, including about $5 million from fuel tankering decisions in 2022. A new AI retailing platform from Navitaire is being rolled out.
The operating picture
Fuel numbers from the airline's own team
Volotea EC-MTL Airbus A319-111 Toulouse-Blagnac Airport (TLS LFBO) (52728657833). Photograph: Mitchul Hope / CC BY-SA 2.0 (cropped to fit). Illustrates the airline, not an AI deployment.
Fuel planning depends on knowing how each aircraft actually performs, which drifts with age, engine changes and maintenance. Volotea, the Barcelona-based low-cost carrier, uses StorkJet to build those models from its aircraft's recorded flight data.
The case stands out because the detail comes from the airline: Volotea's flight operations leaders, Juha Aramo and Juha Kulmala, wrote it up for Aircraft IT in 2023. Separately, in February 2026 Volotea chose Navitaire Stratos, which Amadeus describes as using AI for retailing; it is being rolled out and stays in the wider register.
Selected implementations
The work behind the evidence
01 / Deployed
Performance models from recorded flight data
The operational problem
A flight planned with the wrong performance factor carries the wrong fuel. Too much costs money on every sector; too little leaves less margin.
What the evidence reports
Aramo and Kulmala wrote in Aircraft IT in summer 2023 that StorkJet applies AI to quick access recorder data to build performance models for each aircraft, feeding daily performance and idle factors into Volotea's flight planning system. After an engine change, the performance factor settled within three days. They reported about $5 million saved through fuel tankering decisions in 2022, and about 250 kg of fuel saved per flight on high cost index sectors at a cost of six to seven minutes. In August 2026 StorkJet said its FlyGuide pilot guidance had saved Volotea €1.65 million in fuel over a year; Aramo said pilots "appreciate tools that are clear and helpful".
Operational significance
The savings come from the airline's own flight operations team, with a specific decision behind each figure. That is rarer, and more useful, than a supplier's percentage.
Evidence still needed
Some figures mix AI performance modelling with conventional fuel analysis such as tankering, and the 2026 figure is StorkJet's, without a stated method. The sources do not separate what the AI contributed from the procedural changes Volotea made.
A source can verify an announcement without verifying its projected outcome.
The wider register
Other tracked activity
Other records are shown separately, including non-AI technology and programmes at different stages of deployment. A register entry does not establish a measured AI benefit.
A source can verify an announcement without verifying its projected outcome.
Editorial assessment
Volotea's fuel case is unusually well documented, because its own flight operations team has written up the results.
The next useful step would be a current figure from the airline that separates the gain from performance modelling from the gain from changed procedures.
Live data from the Aerostack register. Status reflects published evidence only. See Our approach for how records are graded.
Aerostack register · 2 tracked deployments
Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.
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