AiRISE - InFlow
A predictive tool that helps airport operator in reducing passengers queues optimizing the staff allocation as well
One of the biggest challenge airport operators have is to make as smooth as possible the time passengers spend in the terminal, avoiding queues and reducing passengers processing time.
InFlow helps the operator in reducing the queues, maximizing the time passengers can spend in the retail area and saving money related to staff allocation as well.
Passengers trend Prediction
InFlow, using a machine learning-based prediction model can predict passengers presentation trend, how many people and when they show themselves at every checkpoint.
Real Time Monitoring
InFlow, thanks to simple integration, is able to monitor the real flow of passengers raising alarms if they are above the capacity predicted.
InFlow allows scenario analysis, simulating the impact of a specific decision like cancelling or adding flights, opening or closing lanes, modifying target and SLA.
InFlow allows the operator to plan strategic and tactical capacity according to the predicted demand.