We provide accurate, machine learning-based forecasts of passenger and baggage volumes across all airport touchpoints, enabling more effective planning, resource allocation and operational decision-making, both in advance and in real time.
- We predict passenger show-up and baggage volumes by flight, with over 99% accuracy.
- Forecasts are continuously updated with live data, helping airports stay ahead of changes.
- Insights support better decisions across short-term operations and long-term strategy.
BAGGAGE VOLUMES
TRANSFER PASSENGERS
OFF BLOCK TIMES
Automatically generate show-up and occupancy profiles
by flight. Proactively adjust predictions and plans with
live data before queues and crowds build.
Forecast the number of bags for arriving and departure aircraft and work more efficiently. From laterals and reclaims to staff, when you know what’s coming, it’s easier to right-size resources.
By projecting transfer patterns by flight, you can forecast people’s flows between flights and build gate plans that reduce the risk of missed connections.
TOBT updates are usually late and inaccurate. Instead, use machine learning to predict off-block times based on flight and passenger flow data and transform on-time performance.
