FinlandTravel and aviation2018 – ongoing

Finavia

AI contextual engine for Helsinki Airport passenger guidance

Finavia used an AI contextual engine to personalize guidance for connecting passengers

WorkingVendor case studyVendor ↗

Problem

Helsinki Airport faced growing transfer traffic concentrated around peak arrival times. Passengers needed relevant information while moving between flights.

Approach

Finavia commissioned Reaktor to build a contextual engine. It combined flight schedules and scanned boarding-pass data with simulation data. AI selected relevant information for passengers moving through the airport.

Results

No published figures

Takeaway

The service personalized guidance using information already generated during airport operations. Reaktor did not quantify changes in missed connections or transfer times.

Sources

Finavia
Reaktor9 Jan 2023Vendor publication

Source summaries

[1]Reaktor9 Jan 2023

Reaktor described an operating AI contextual engine at Helsinki Airport. Flight and boarding-pass information supported personalized passenger guidance; no measured operational improvement was disclosed.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026