Marloes has an extensive background in the pharmaceutical and healthcare industry, particularly in Latin America, the Asia Pacific region, Europe, and the USA. She became the first female leader at Yusen in 2017 after several significant roles in the industry, where she is helping to grow and develop global GDP standards across Yusen Logistics’ network.
Deep Turnaround is already live and providing value at multiple airports. Apple Vision Pro can push the boundaries even further in terms of how the data is used.
For example, currently the optimisation of the aircraft turnaround process requires gate planners to navigate through multiple sources and screens of information to find actionable insights. By leveraging the capabilities of Apple Vision Pro, we can help gate planners to find, organise and utilise this information in an intuitive and personalised manner. It’s possible to asses critical information spatially, making it easier to identify bottlenecks and improve decision making.
It’s also possible to interact with virtual representations of the airport and aircraft, observing their allocation status and turnaround progress. These immersive visualisations help provide a holistic view of the airport status and enable effective and timely decision making. To help anticipate upcoming bottlenecks we have integrated predictive insights from our deep-learning algorithm. Using a combination of historical data and and real-time camera input, Deep Turnaround is able to predict delays in the turnaround process. These predictions can also be integrated in the views you see here.
Although the current project is only a trial, it shows what’s possible. Curious to see what’s next? Subscribe to receive updates (below). Want to know more about Deep Turnaround? Request a demo.
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