Veovo's Passenger Predictability solution is set to enhance the passenger experience and optimise the operations at Budapest Ferenc Liszt International Airport. The passenger flow analytics platform will initially focus on preventing bottlenecks and efficiently allocating resources at the airport's security and check-in areas.
Budapest Airport will use data from multiple movement sensors and machine learning to understand passenger behaviour, predict the impact of events, and be able to make proactive decisions. The airport also plans to expand the technology from kerb to gate to benefit passengers throughout their airport journey.
Live and predicted queue wait-time information will also be displayed to provide accurate information to passengers.
"Our commitment is to deliver world-class service to our customers and continuously enhance our operational processes. Our collaboration with Veovo as a technology partner is a vital aspect of this strategy, enabling us to gain valuable insights, optimise staffing, and improve experiences at our airport checkpoints," said István Szabó, Chief Passenger Services Director at Budapest Airport.
Veovo's cloud platform can be used in other areas of the airport to help improve the flow of passengers. After initially using the technology at security and check-in, Budapest Airport now plans to use it to forecast passenger show-up profiles and build efficient lane opening plans to match demand.
James Williamson, CEO at Veovo commented: "We're delighted to work with Budapest Airport to help improve operations and streamline passenger journeys.” He added: “The airport is one of a growing number of airports tapping into the power of data and machine learning to transform their operational performance."
The adoption of Veovo's solution by Budapest Airport follows other major airports, including London Gatwick, Amsterdam Schiphol, Newark, and Dublin.
