Assaia has launched StandManager, a resource management system (RMS) designed to help airports optimize stand and gate allocation using AI and live operational data.
Announced ahead of PTE World 2026, the system analyzes real-time operational information to determine where aircraft should park and how long they should remain at a stand. The platform replaces traditional stand planning approaches that rely on fixed buffer times, scheduled flight data and manual decision-making.
According to Christiaan Hen, CEO of Assaia, the technology dynamically adjusts stand allocation as operational conditions change.
“Airports historically allocated stands and gates using fixed buffer times, scheduled flight data and manual processes,” Hen said. “StandManager replaces this approach with a solution that continuously analyzes live operational information to automate the stand and gate allocation process and calculate predictive buffers for each flight.”
Hen added that the system can anticipate operational changes and automatically adjust the stand plan. “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 optimize within the airport’s rule set. By adjusting buffers dynamically rather than relying on fixed assumptions, airports can make better use of available capacity.”
StandManager integrates with Assaia’s ApronAI platform, which uses computer vision to monitor aircraft turnaround activity and predict milestones such as off-block times. When used together, the systems link real-time turnaround performance, towing status and delay predictions directly to stand allocation decisions.
The company said the platform has been developed to address growing operational pressure on airports as passenger traffic increases while infrastructure capacity remains limited.
“With global passenger growth expected to double by 2053, traffic numbers are outpacing infrastructure development, and airports are facing sustained capacity pressures,” Hen said. “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 partnered with Transformers Group to deliver the system, combining Assaia’s operational AI capabilities with the company’s experience in open-architecture RMS platforms.
Bram Kok, managing director of Transformers Group, said,“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 optimization strategies supports data-driven decisions when conditions change.”
With the launch of StandManager, Assaia is expanding its portfolio beyond turnaround monitoring to broader airport resource optimization by linking real-time apron performance with stand and asset allocation.
Assaia will be exhibiting at PTE World in London, March 17-19, 2026 (Booth D215). Register for your FREE entry pass here
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