Dubai Airports sets new standards with AI-powered inventory forecasting

Dubai Airports, the operator of Dubai International (DXB) and Al Maktoum International Airport (DWC), has revealed the results of its Material Requirement Planning (MRP) tool, powered by artificial intelligence and machine learning, which transformed behind-the-scenes supply management operations.

This innovative approach has enhanced service levels, streamlined inventory management, and boosted operational efficiency across the organisation, contributing to a superior experience for airport guests.

Over the past year, the MRP tool helped the inventory team predict future spare parts consumption. With parts on hand, the team can promptly execute engineering work orders, resulting in quicker maintenance responses and fewer disruptions for airport guests.

The MRP tool has improved forecast accuracy by 30%, allowing for precise inventory planning and reducing excess stock by 12%. This optimisation enhances capital utilisation and ensures that resources are available when needed.

Emmanuel Augustin, VP of Supply Management at Dubai Airports, said, "We leveraged AI and real-time data to streamline our inventory management, improve efficiency and enhance the quality of service we provide to our key customers, both our internal business functions and the millions of guests who travel through the airport."

Improved forecasting has led to a 24% increase in service levels, enabling faster response times for facility maintenance and enhancing the overall guest experience. The reduction of ageing work orders by 82% ensures that maintenance tasks are addressed promptly, minimising downtime and maintaining high standards of airport operations.

The automation of the inventory ordering process has improved efficiency by 400%, seamlessly integrating the creation of purchase requisitions and significantly reducing manual workloads.

The MRP tool has ensured adherence to new regulations, maintaining the airport's commitment to operational excellence and regulatory compliance.

WAM