Learn How Xebia built a machine learning model to predict the duration of each activity and a maximum estimated time for the flight to be ready before take-off
Which steps helped this leading airline to get the maximum estimated time for the flight to be ready for take-off?
The Xebia team implemented a method to compute the time for turnaround activities based on various parameters such as number of passengers, flight origin, flight destination, historical schedule and actual start and end time of each of these turnaround activities, number of people who worked on each of these activities (e.g. number of cleaners) etc.
Key Benefits
• Improved and accurate decision making• Better customer experience
• Improved traffic handling capability
• Reduced airline operating cost due to real-time decision making
