A Boeing 787 flying from Newark to Rome requires about $68K in jet fuel, but adjusting flight paths for wind conditions could save thousands. Scikit-decide, an open-source reinforcement learning framework combined with fuel consumption models from Delft University and NOAA wind data, offers an alternative to commercial solutions like Jeppesen for optimizing flight paths and airline operations.