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Yard asset management involves strategically coordinating and optimizing all physical assets in logistics yards, such as trailers, containers, dock assignments, and driver workflows. It plays a crucial role in enhancing the efficiency of your supply chain, yet many operations still overlook it.

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The yard is a crucial area where highway transportation connects with warehouse operations. However, it is often neglected when it comes to improving supply chain efficiency. While advanced Warehouse Management Systems (WMS) have automated indoor processes and Transportation Management Systems (TMS) have optimized road logistics, the yard still operates as a data black hole between these two highly automated environments.

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Detention in trucking refers to the time drivers and their vehicles spend waiting at shipper or receiver facilities beyond the agreed-upon free time allowance. This waiting period typically occurs during loading, unloading, or administrative processes that extend beyond normal operational expectations.

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Generative AI in supply chain operations represents a significant shift from traditional automation to intelligent, adaptive systems that can create, predict, and optimize in real-time. Unlike conventional AI that simply processes existing data, generative AI creates new insights, scenarios, and solutions by learning patterns from large datasets and generating novel outputs that drive smarter decision-making across your entire supply network.