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Real-time coordination and predictive optimisation can unlock hidden airport capacity

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Real-time coordination and predictive optimisation can unlock hidden airport capacity

SITA argues that the biggest limit on airport performance is no longer infrastructure alone, but fragmented operational decision-making across teams and systems.

The Logistic News by The Logistic News
March 17, 2026
in Air, Logistic, Tech
Reading Time: 2 mins read
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Real-time coordination and predictive optimisation can unlock hidden airport capacity
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Airport congestion is increasingly being driven not by a lack of runways, gates or terminal space, but by poor coordination across the different parts of the airport ecosystem.

That is the central argument of a new SITA white paper, which says airports can unlock hidden capacity by aligning decisions in real time, connecting operational stakeholders more effectively and using predictive analytics to intervene earlier when disruption begins to build.

According to SITA, traditional efforts to improve isolated processes are no longer enough in an environment where airports face growing passenger volumes, rising operational complexity and increasing pressure to deliver on-time performance.

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The company’s proposed model, described as Total Airport Management, is designed to connect data, teams and external partners into a shared operational framework that improves resilience and makes better use of existing infrastructure.

SITA points to Abu Dhabi as one example of this approach in practice. There, a shared data platform brings together airlines, ground handlers, air traffic control, government bodies and airport systems, giving stakeholders a common operational picture and allowing earlier, better-aligned decisions.

The white paper identifies three structural obstacles.

The first is that different departments often optimise against their own KPIs rather than airport-wide performance. When check-in, security, gate and airside teams operate independently, delays are shifted along the chain rather than removed. SITA notes that disruption is far from rare: according to AirHelp, nearly 25% of global passengers in the first half of 2025 were affected by delays or cancellations.

The second challenge is that visibility alone is not enough. Dashboards and control rooms can show what is happening, but performance improves only when teams are working from a shared operational picture supported by predictive insight. SITA links this to the broader logic behind Airport Collaborative Decision Making (A-CDM) frameworks backed by organisations including ACI World, IATA, ICAO and CANSO.

The third challenge is implementation. Airports cannot afford to replace the core systems that support day-to-day activity. Instead, SITA argues that intelligent Total Airport Management should build on live operational systems, connecting them through a shared source of truth and adding optimisation tools that recommend better interventions and resource allocation.

Nathalie Altwegg, senior vice president of airports at SITA, said infrastructure investment remains essential, but on its own does not guarantee performance. She said airports function as interconnected systems and that predictive insight allows teams to identify pressure earlier, respond before disruption spreads and improve punctuality, resource use and passenger experience.

For airport operators facing rising demand, tighter budgets and higher passenger expectations, the paper’s conclusion is clear: growth does not have to lead automatically to congestion if coordination improves fast enough.

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