An airport has a fixed number of gates, stands, check-in desks, baggage belts, and jet bridges. The flight schedule changes constantly - delays, diversions, cancellations, early arrivals, weather. A dynamic Resource Management System takes all of those moving parts and allocates them in real time, solving conflicts before they become problems.
That’s different from a static plan. A static plan says “Flight 402 gets Gate 14 at 09:00.” A dynamic RMS says “Flight 402 will be 35 minutes late, Gate 14 is needed for a widebody at 09:20 - here’s the best reallocation across all affected flights, gates, and stands, optimised for minimum towing, maximum contact stands, on-time departure, commercial objectives, PRM requirements, etc, etc…”
That’s what AirportLabs Allegra RMS does. AI that doesn’t just fill slots - it optimises across all resource types simultaneously, resolving conflicts before they cascade.
Who benefits:
- The airport gets more movements from the same footprint.
- The airline gets better on-time performance and fewer last-minute gate changes.
- The ground handler sees the reallocation immediately and can reposition crews.
- The passenger boards from a contact gate instead of a bus - and gets earlier gate notification.
We run Allegra at the world’s busiest airports - Dubai, O’Hare, and across OMA’s 13-airport network in Mexico (& more). Not because they lack resources. Because every resource has to be in the right place at the right time, every time.
The team who built the product and the AI team will be at PTE in London, come speak to them and find out how.