King Khalid International Airport has joined hands with Amazon Web Services AWS and AIRIS to provide an efficient baggage handling system using AI and unsupervised machine learning algorithms.
The Chief Executive Officer of Riyadh Airports, Engineer Mohammed bin Abdullah Al-Maghlouth, said: “One of the main pillars of successful operations at the airport is the introduction of state-of-the-art and highly efficient technology to achieve the lowest possible percentage of operational risks. The Company is using the latest AWS technology based on artificial intelligence and machine learning to enhance the quality and efficiency of operations at the airport to ensure an improved passenger experience. It aims to reduce unforeseen failures by up to 50% by using predictive analytics to schedule planned downtime while working to reduce repair time by up to 60%.
With the implementation of the Predictive Analytics Solution across our Baggage Handling System, our teams will have sufficient time to coordinate logistics and schedule service downtime when required.
Moulham Zahabi, Principal Consultant at Airis-Solutions.ai added: “In the era of the fourth industrial revolution, it is an absolute pleasure to work with Riyadh Airports and AWS partners to develop AI/ML technologies to reinvent how airports manage their assets. Our solutions aim to maximise asset utilisation and performance to enhance the passenger experience while minimising operating expenses.”
King Khalid International Airport is the first airport to apply this technology in baggage handling systems worldwide.
