Calgary brings AI turnaround tracking to its cargo apron

Calgary International Airport plans to switch on AI monitoring at its Apron 9 cargo area on 10 November. Cameras are installed, the airport said on 28 October. Assaia’s ApronAI will record the start and finish of unloading, loading and fuelling, sharing the information with airport teams, cargo operators and ground handlers.[1]

The expansion follows a passenger-gate programme announced a year earlier. That plan grew from a ten-gate pilot to a phased deployment covering 67 gates, with the final ten awaiting terminal renovations. Cargo now adds a different operating environment to the airport’s use of the technology.[2]

The shipment changes the job

Assaia chief executive Christiaan Hen says freight turnarounds vary with the cargo and its handling requirements. Calgary’s facilities serve goods ranging from pharmaceuticals and perishables to oversized equipment and live animals. A single average turnaround time can hide quite different pieces of work.[1]

Perishables make the distinction tangible. IATA’s handling guidance describes time and temperature as connected requirements: a shipment can need particular storage, separation from other cargo and an alternative procedure if its flight is delayed. Getting a pallet aboard quickly is therefore part of a larger task of preserving the goods through the journey.[4]

That gives the timeline a specific use. In our reading, a record of when unloading or loading actually began can help teams locate a waiting interval and coordinate the next handover. The handling requirements still explain what that interval means; minutes spent waiting and minutes spent carrying out necessary care are different operational problems.[3][4]

From recorded events to decisions

Assaia’s product documentation describes camera-derived event timestamps, alerts and predictions that combine turnaround information with flight details and weather. The shared record can make a late-starting activity visible to the people managing it, while historical data provide a way to examine repeated patterns. These are the supplier’s documented capabilities, rather than measured results from the new cargo installation.[3]

Cargo operators can use that distinction to ask a sharper question: which handover repeatedly starts late for comparable loads? A timestamp identifies when an activity happened; the operational record must explain which goods and handling needs went with it. Comparing similar work is more useful than treating every freighter as the same job.[3][4]

Calgary is timing activation for its busiest cargo period. Chief information officer Megan Gupton says the peak-season observations will inform planning for 2027 and beyond.[1]

Report an error or suggest a correction