Berlin Brandenburg Airport (BER) is to implement an AI-based software package to optimise its handling processes.
Using a product from software supplier Assaia, the system will enable handling processes on the apron to be analysed with the help of self-learning software and relevant recommendations for action to be issued. This will allow work processes on the aircraft to be optimised, resulting in greater stability in the flight schedule and increased punctuality. The product will be introduced gradually over the coming months.
Thomas Hoff Anderson, Chief Operations Officer at the airport: “An airport as an infrastructure operator contributes to a good travel experience for passengers with stable processes and reliable flight schedules. In the future, we at BER will continue to rely on an AI-based solution to further increase the stability of the network and punctuality figures. We expect the software’s machine learning feature to provide us with valuable insights that will give us additional impetus to further develop processes in airport operations.”
Max Diez, CEO Assaia: “We are delighted to be working with Berlin Brandenburg Airport and to be part of the airport’s journey to provide the best possible experience for passengers at BER. Our technology will help the airport achieve its goals, including increased safety and efficiency, more processing per gate and improved punctuality.”