Avinor rolls out Veovo’s forecasting technology to predict anything, anywhere.
Veovo machine learning platform to power short, medium, and long-term forecasts and planning across Norwegian airports.
(Oslo, Norway & London, UK, 8. September 2022) – Norwegian airport operator Avinor has partnered with Veovo to provide an integrated platform that will forecast, plan, and optimise operations across all areas of their airports. In one of the most comprehensive machine learning programs in the industry, the strategic collaboration aims to result in better passenger experiences across its 40+ airports and allow for more cost-effective and reliable operations.
Now more than ever, airports are operating in a very dynamic environment, increasing the need for planning to be more agile and backed by evidence-based data. As part of this program, Avinor and Veovo 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.”
The Veovo 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 program 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 airports 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.
The technology may also be used by Avinor to improve airside decision-making such as turnarounds, de-icing, gate allocations and maintenance planning. The prediction capability will extend between airports; if Avinor understands the impact of events in one airport on others in the Norwegian network, the operator can take early action to minimise disruption.
Lars Vågsdal, CTO at Avinor, 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.”
James Williamson, Veovo CEO, 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.”
“The Veovo solution helps us manage passenger expectations better, making for a more pleasant travel experience.”
“Veovo’s technology gives us complete passenger flow visibility, helping us make informed decisions to deliver a better-quality passenger experience.“
“Veovo has allowed us to gain a good understanding of the security check-point dynamics, and most importantly, our customers benefit directly by getting a better service.”
“We are able to keep our passengers fully informed 24/7 about what to expect at security. Our aim is to make the experience as smooth as possible – Veovo helps us do that.”
“With Veovo, we can proactively manage passenger flow, and respond promptly and efficiently to irregular operations and disruptions.”
“Vital to our Master Plan programme is a deep understanding of airport capacity, bottlenecks and constraints, and Veovo is key to this.”
“Veovo has allowed us, together with our airport partners and stakeholders, to better manage operations, as well as improve the passenger experience by communicating expected wait times to passengers at processing points.”
“Veovo gives us a clear picture of passenger movements, allowing us to provide the best customer service and proactively manage service levels before any issues arise.”
“Veovo enables us to monitor the quality of the terminal processes to improve resource planning, and to perform consistent reporting to internal and external stakeholders.”
“Veovo provides us with immediate visibility to the customer experience and resource effectiveness with throughput planning. It allows us to put the customer at ease at a critical stress point and reinforces our expectations around superior customer experience.”
“Veovo has helped us to resource our operations on the day and to identify pinch points and potential build-ups. The very accurate data has enabled us to provide an optimum passenger experience by displaying accurate queue wait times.”
“Veovo provides us with valuable real-time insights about passenger queue time dynamics. It helps our managers to secure low queue times at minimum cost, and also provides our Analysis Department with direct feedback on their forecasting performance.”
“As the most reliable, and one of the only solutions on the market capable of measuring passenger flow through multiple stages of the journey, Veovo provides us with continuous, airport-wide visibility 24 hours a day, seven days a week.”
“We value the long-term cooperation and Veovo´s professional approach in providing us with technology and data to ensure efficient operations and passenger satisfaction.”
”Veovo helps us identify how passengers move through and use the airport. It enables us to look for patterns through the day/week, to see the impact of the various actions we implement, to reduce bottlenecks and wait time for our passengers.”