Flughafen München, the operator of Munich Airport, is deploying the Celonis platform to gain real-time visibility into its operations, from baggage handling to expense management and the wider passenger journey. The partnership is designed to turn hidden operational blind spots into a live, actionable picture of how Germany's second-largest airport actually runs.
Process Intelligence Built for Complex Operations
Much like air traffic control tracks every aircraft overhead, process intelligence systems can follow the movement of data throughout an organisation, mapping, analysing and improving complex operations as they happen. Munich Airport is applying that same logic on the ground, using Celonis to continuously refine workflows, automate routine procedures, manage expenses and elevate the overall passenger experience.
At the core of the deployment is the Celonis Context Model (CCM), which brings together Process Mining, Process Intelligence, Decision Intelligence and Digital Twin technology in a single layer. The aim is to convert enterprise blind spots into clear, usable operational insight.
Enabling Real-Time Decisions
Full visibility into daily workflows has become essential to running a modern airport. According to Dr Jan-Henrik Andersson, Chief Commercial Officer at Munich Airport, this level of clarity allows teams to identify and even get ahead of bottlenecks, respond faster with better decisions, and extract more value from the airport's AI initiatives.
Moving luggage from check-in to tarmac and back is one of the airport's toughest coordination challenges, spanning a dense web of steps, systems and interfaces. To manage it, Munich Airport is using the Celonis Platform to unify process data across systems, applications and devices, effectively creating a near real-time digital twin of ground operations.
"Celonis gives us the context to see how our airport runs, in real time"— Dr Jan-Henrik Andersson, Chief Commercial Officer, Munich Airport
A Dynamic Context Layer
Powered by the CCM, Munich Airport can now predict capacity needs by identifying peak load windows, giving ground handlers the chance to pre-process bags during quieter periods and optimise storage, recirculation and retrieval.
The system also enables near real-time monitoring, tracking individual pieces of luggage from check-in through to discharge so baggage control centre staff can resolve disruptions before they turn into delays. A third capability automates alerts, notifying the relevant employees the moment operational thresholds are exceeded.