In-Flight Services Management System


This product is a machine learning algorithm that accurately forecasts passenger loads on a flight based on historical data. The algorithm ensures that the right number of meals are on the right aircraft, which in turn reduces meal wastage and contributes to sustainability.

The backend processes use data that incorporates ‘no shows’, ‘go shows’, staff passengers, upgrades, downgrades and any other factors that have a direct impact on the number of passengers on board.

The product improves the passenger experience by ensuring there are no meal shortages on board. For example, on an overbooked flight where passengers are upgraded to premium classes, it is vital that there are adequate meals to cater to all passengers as a lack of a meal will not bode well even if the passenger is upgraded. This forecasting algorithm ensures that meals are loaded based on booked load and predicts upgrade scenarios to help the airline order meals adequately.

Today, the marketplace uses mostly limited forecasting tools to accurately predict the number of passengers on board, which, in turn, helps them determine the number of meals to be loaded. They are mostly mathematical solutions and do not consider many of the training data that CAE’s ML tool uses. With the CAE algorithm, the accuracy is constantly improving as more data is incorporated and, over a period of time, can ensure that both meal wastage and meal shortage is avoided entirely.

Airlines using the In-Flight Services Management are:

  • Air Canada
  • American Airlines
  • British Airways
  • Etihad Airways
  • Saudia
  • United Airlines

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