Budapest International Airport has said that it will be rolling out Veovo’s Passenger Predictability solution. 

Veovo’s passenger flow analytics platform will initially focus on preventing bottlenecks and efficiently allocating resources in the airport’s security and check-in areas. 

Data from multiple movement sensors and machine learning will be used to better understand passenger behaviour and predict the impact of events, helping to make informed and proactive decisions.  

Live and predicted queue wait-time information will also be displayed, providing accurate information about expected queueing time to passengers. This aims to improve customer experience.

“Our commitment is to deliver world-class service to our customers and continuously enhance our operational processes,” said István Szabó, chief passenger services director at Budapest Airport.  “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.” 

 Budapest Airport is following in the steps of other major airports, including Gatwick, Schiphol, Newark, and Dublin by adopting Veovo’s solution.

“We’re delighted to work with Budapest Airport to help improve operations and streamline passenger journeys,” said Veovo CEO James Williamson. “The airport is one of a growing number of airports tapping into the power of data and machine learning to transform their operational performance.” 

Budapest Airport announced it welcomed 12.2 million passengers in 2022, a massive 164% surge from 2021 and expects the number to continue to rise this year.