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American Airlines deals with thousands of shipments every day. However, with no-shows costing them millions of dollars in lost revenue, they needed a way to optimize the configuration of their freight and become more efficient as a business.
Tap into this case study to learn how they were able to leverage machine learning to flag at-risk shipments and enable agents to focus on high-priority bookings – leading to a massive improvement in planning cargo freights.