Glasgow Airport needed to manage growing passenger volumes, with limited visibility of how people arrived, moved through the airport, and impacted infrastructure.
Fragmented data and unpredictable demand made it difficult to anticipate congestion and plan operations effectively.
Entopy deployed an AI-enabled digital twin of passenger movement, modelling journeys from road access through to check-in and security.
By combining historical and live data, the platform provided forward-looking insight into passenger volumes, car park usage, and processing times across the airport.
Entopy’s micromodels simulate passenger behaviour across the airport, predicting arrivals, dwell times, and processing flows in granular time intervals.
Operators can also test future scenarios, such as infrastructure changes or demand spikes, in a virtual environment, enabling proactive planning and optimisation.
