Assaia is announcing the launch of StandManager, a Resource Management System (RMS) that leverages the latest AI technology to help airports determine where aircraft should park and for how long.
Christiaan Hen, CEO, Assaia, explains the technology: “Airports historically allocated stands and gates using fixed buffer times, scheduled flight data, and manual processes.
“StandManager replaces this approach with a solution that continuously analyses live operational information to automate the stand and gate allocation process and calculate predictive buffers for each flight.
“For example, if the model identifies that a flight is likely to arrive 10 minutes early or late, the stand plan automatically reallocates gates to optimise within the airports rule set.
“By adjusting buffers dynamically rather than relying on fixed assumptions, airports can make better use of available capacity.”
Officially launched ahead of Passenger Terminal World 2026 in London, StandManager complements Assaia’s ApronAI solution, which uses computer vision to monitor aircraft turnarounds and predict milestones such as off-block times.
Used together, the systems connect real-time turnaround performance, towing status, and delay predictions directly to stand allocation decisions.
Purposefully built for today’s airport environment, where growing traffic and constrained infrastructure limit flexibility, StandManager is designed as an AI-based platform that continuously processes live operational data to optimise stand and gate allocation as conditions change.
Hen adds: “With global passenger growth expected to double by 2053, traffic numbers are outpacing infrastructure development, and airports are facing sustained capacity pressures.
“By replacing fixed buffers with dynamic predictive buffers, airports can reduce idle time between aircraft arrivals and increase effective stand capacity by up to 5%, without adding new infrastructure.”
Assaia has partnered with Transformers Group to deliver the platform, combining Assaia’s operational AI expertise with Transformers Group’s experience in building open-architecture RMS solutions.
Bram Kok, Managing Director, Transformers Group, says: “Stand planning is still too often managed through static rules and disconnected solutions. When delays arise, teams must respond under time pressure, often without complete visibility into the real-time situation and its potential impacts.
“The combination of AI Agents and airport-specific optimisation strategies supports data driven decisions when conditions change.”
