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AiRISE - InFlow

Thales

AiRISE - InFlow

A predictive tool that helps airport operator in reducing passengers queues optimizing the staff allocation as well

AerospaceAirportsFlow optimizationSaaSAirlinesPlanning & managementProcess automationDecision aid / support

Benefits

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.

Cost saving on staff allocation

Additional min. free for each passengers

Reduce risk of delays due to passengers

Features

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.

What If

InFlow allows scenario analysis, simulating the impact of a specific decision like cancelling or adding flights, opening or closing lanes, modifying target and SLA.

Capacity Planning

InFlow allows the operator to plan strategic and tactical capacity according to the predicted demand.

1.

Passengers trend Prediction

2.

Real Time Monitoring

3.

What If

4.

Capacity Planning

Complementary information

thales fiche INFLOW_uk.pdf
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About us

Thales

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