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Assaia Introduces Airport Stand and Gate Optimization System

Assaia Launches AI-Driven Stand and Gate Optimization System for Airports
Assaia, a prominent innovator in AI-powered turnaround optimization, has introduced StandManager, a new Resource Management System (RMS) designed to revolutionize the allocation of stands and gates at airports. Utilizing advanced artificial intelligence, StandManager continuously processes live operational data to automate and optimize aircraft parking decisions, moving beyond the conventional reliance on fixed buffer times and manual scheduling.
Dynamic Allocation Enhances Airport Efficiency
Traditionally, airports have depended on static rules and scheduled flight data to assign stands and gates, often resulting in inefficiencies when flights arrive early or late. Christiaan Hen, CEO of Assaia, explained that StandManager replaces these static methods with a dynamic system that calculates predictive buffers tailored to each flight. This real-time reallocation of gates enables airports to maximize capacity and operational efficiency, adapting swiftly to changing conditions.
Unveiled ahead of Passenger Terminal World 2026 in London, StandManager complements Assaia’s existing ApronAI platform, which employs computer vision to monitor aircraft turnarounds and forecast key milestones. Together, these technologies integrate real-time turnaround performance, towing status, and delay predictions directly into stand allocation decisions, empowering airports to respond proactively to operational fluctuations.
Addressing Growing Capacity Challenges
The launch of StandManager coincides with projections that global passenger numbers will double by 2053, a growth that threatens to outpace infrastructure development and intensify pressure on airport capacity. Hen highlighted that by replacing fixed buffers with dynamic, predictive ones, airports can reduce idle time between arrivals and increase effective stand capacity by up to 5%, all without requiring new infrastructure investments.
Assaia has partnered with Transformers Group, a company founded by former Schiphol data leaders, to deliver StandManager. This collaboration merges Assaia’s expertise in operational AI with Transformers Group’s experience in open-architecture RMS solutions. Bram Kok, Managing Director of Transformers Group, emphasized the importance of data-driven decision-making, noting that stand planning is often hampered by static rules and disconnected systems. Their approach facilitates real-time, informed decisions during disruptions, alleviating pressure on airport teams.
Market Challenges and Prospects
Despite its potential, the adoption of StandManager may encounter obstacles in regions with less developed aviation infrastructure, such as Brazil. Azul CEO John Rodgerson pointed out that the current state of the Brazilian aviation sector could limit initial uptake and market penetration. The system’s success will depend on its ability to integrate seamlessly with existing airport infrastructure and navigate the regulatory and operational complexities unique to such markets.
Market responses are expected to vary. Airlines focused on operational efficiency may demonstrate strong interest, while competitors might respond by adopting similar technologies or developing proprietary solutions, especially given the growth opportunities in emerging aviation markets.
With the introduction of StandManager, Assaia broadens its scope from turnaround visibility to comprehensive airport resource optimization, aiming to support airports and airlines in operating more efficiently, safely, and sustainably amid rising global air traffic.
For further details, visit www.assaia.com.

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