Avinor, the Norwegian airport operator, has collaborated with Veovo to provide an integrated platform that will forecast, plan and optimise operations across all areas of their airports.
With airports operating in a dynamic environment increasing the need for planning to be more agile and backed by evidence-based data, the strategic collaboration aims to result in better passenger experiences across its 40+ airports and allow for more cost-effective and reliable operations. Together the two companies will effectively build data that reflects the processes of passenger and flight movements across each airport. This will enable service providers to continually improve performance by making automated and accurate predictions and putting actionable insights directly into the hands of staff, where and when they need it.
“To reach our strategic goals of delivering better services more sustainably and more efficiently, we must become a data-driven organisation,” said Abraham Foss, CEO of Avinor. “I look forward to seeing the operational, financial and service improvements of our partnership with Veovo.”
Veovo’s machine learning platform will mesh data from multiple third-party systems and IoT devices to accurately automate predictions for multiple operational services and use cases across all time horizons. The programme scope includes providing accurate forecasts and capacity planning for passenger and baggage flow, check-in, security and border control resource planning. It can also be used to provide predictions for baggage handling, concession footfall, shuttle services and terminal services such as cleaning, passengers with reduced mobility (PRM) assignments and transfers. This will enable the aiprorts to match the availability of services to demand at any time and proactively address any potential issues, improving both the passenger and staff experience while lowering the overall cost to serve.
Lars Vågsdal, CTO at Avinor added: “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.”
In addition, Avinor can also use Veovo’s platform to improve airside decision-making such as turnarounds, de-icing, gate allocations and maintenance planning. Meanwhile the prediction capability means that Avinor can base decisions made at one airport based on events at other hubs within its network.
Declaring his delight at the partnership Veovo’s CEO, James Williamson, concluded: “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.”
