Avinor, a Norwegian airport operator, has utilised software solutions provider Veovo to predict and optimise operations across all of its airports.
Using Veovo’s machine learning platform, Avinor aims to ensure cost-effective and reliable operations across its airports network.
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Avinor CTO Lars Vågsdal said: “The Veovo machine learning platform was chosen after a comprehensive selection procedure involving technology pilots.
“Veovo’s ability to accurately aggregate multiple data sources and automate the delivery of accurate forecasts with no human intervention required stood out as a clear point of difference. We look forward to rapidly expanding its use across our airside and terminal processes.”
Under this partnership, the two companies will develop data that reflect the processes of passenger and flight movements across each airport.
The Veovo machine learning platform will gather data from various third-party systems as well as internet of things (IoT) devices to automate predictions for different operational services.
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By GlobalDataThis data will help in predicting capacity planning for passenger and baggage flow, check-in, security, and border control resource planning.
Additionally, the data can be used for forecasting baggage handling, concession footfall, shuttle services and terminal services.
Such data is expected to help the airport operator manage the demand with available resources and enhance the experience of travellers and staff.
Avinor can also use the technology to enhance airside decision-making, stated the technology provider.
Veovo CEO James Williamson said: “We are delighted to enter this partnership with such an innovative and forward-thinking partner as Avinor. Our aligned vision will supercharge operational decision-making, long-term planning, and airport performance.
“Jointly, we will deliver more precise and detailed predictions and powerful ML-driven capacity optimisations, creating the smoothest possible journey for Avinor passengers.”
