Malaysian cargo airline MASkargo, officially MAB Kargo (Malaysia Airlines Berhad Cargo), will use Unisys’ logistics optimisation technology to improve its operational efficiency, capacity utilisation and service delivery.
Unisys said its logistics optimisation technology is designed to “turn complex data into strategic insights by leveraging diverse computing methods and pre-trained AI models to optimize load utilization, routing and inventory for air cargo, ground handlers and freight forwarders”.
MASkargo, the cargo arm of Malaysia Airlines, aims to use the technology to better manage time-consuming planning and loading processes that result in underutilised space on flights, missed revenue opportunities and even damage to shipments, said Unisys.
The company stated that the technology will enable MASkargo to help its sales team fill planes to drive additional revenue; reduce costs associated with ground handler labour; limit claims, damages, and the risk of non-compliance due to human error; plus improve fuel efficiency and minimise its carbon footprint.
MASkargo chief executive Jason Thomas said: “Investing in advanced technologies like Unisys Logistics Optimization will allow us to cement our position as an industry leader. The solution’s ability to replan in near-real-time gives us the agility to manage disruptions and maximize our assets.”
“Our Logistics Optimization solution is perfect for MAB Kargo, addressing their air cargo challenges for faster decision-making and capacity optimization,” added Chris Arrasmith, senior vice president, Enterprise Computing Solutions, Unisys. “By leveraging our 40+ years of experience and a deep understanding of air cargo processes, our solution is making a significant impact in this competitive industry.”
Last month, MASkargo announced it would place its capacity on CargoAi’s online booking portal and also offer payment for bookings through the technology firm’s CargoWALLET payment solution.
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