SITA OptiDirect builds an airline-specific database of waypoint-to-waypoint tracks flown, using machine learning which draws on historical flight data and aviation waypoint databases. In tandem, it builds tail-specific predictive performance models and feeds them with 4D weather forecasts, operational flight plan (OFP) inputs and the airline-specific waypoint route database. The result? Recommendations of the optimum shortcuts for fuel burn and time-savings, customized to each flight and aircraft.

The solution tells pilots how much time and fuel could be saved on that specific flight as well as the number of times the recommended shortcut has been flown before. Armed with this information, pilots can be more confident in requesting the shortcut from Air Traffic Control (ATC). What’s more, SITA OptiDirect integrates seamlessly into existing cockpit systems and apps, making it simple to use.