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Autonomous tractors optimize yard operations

Flexible artificial intelligence platform enables self-driving tractors, streamlining operations and boosting efficiency

1

The challenge

A growing shortage of qualified truck drivers across the U.S. is having a detrimental impact on the operations of logistics hubs and warehouses, raising questions about the way in which they’re run. A lack of manpower means the process of sourcing, loading, and unloading goods within yards is taking longer than before, prompting shipment delays and hindering overall supply chain resiliency.

Added to this, when warehouse personnel are responsible for manually tagging and moving containers—as has been customary—mistakes can happen. Tags can be inaccurate and containers can end up in the wrong places, potentially requiring hours of search time to resolve the issue.

The challenge was to remove the potential for error and optimize yard performance, ensuring that we created a solution that would work across a wide range of unique yard environments.

2

Our idea

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3

How we implemented

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4

What we achieved

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