New Optimization Tech Boosts Operator Efficiency
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MAB Kargo, the air cargo division of Malaysia Aviation Group (MAG), has selected Unisys and its logistics optimization solution to enhance its operational efficiency, capacity utilization, and service delivery.
Like many in the air cargo industry, MAB Kargo faces challenges with time-consuming planning and loading processes that result in underutilized space on flights, missed revenue opportunities, and even damage to shipments. To meet its customers' demands globally in today’s environment, MAB Kargo has chosen Unisys Logistics Optimization.
The Unisys Logistics Optimization solution turns complex data into strategic insights by leveraging computing methods and pre-trained AI models to optimize load utilization, routing and inventory for air cargo, ground handlers and freight forwarders.
“The solution’s ability to replan in near-real-time gives us the agility to manage disruptions and maximize our assets,” said MAB Kargo CEO Mark Jason Thomas.
MAB Kargo chose Unisys Logistics Optimization solution to: empower its sales team to proactively fill planes to drive additional revenue; reduce costs associated with ground handler labor; limit claims, damages, and the risk of non-compliance due to human error; and improve fuel efficiency and minimize its carbon footprint.
“Our Logistics Optimization solution is perfect for MAB Kargo, addressing their air cargo challenges for faster decision-making and capacity optimization,” said 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.”
