The tool aggregates data from truck telematics, in-cab video, maintenance logs, and labor workflows into a single interface. Instead of forcing site managers to manually piece together information from fragmented systems, the AI surfaces specific problems and provides actionable, expert-level advice on how to resolve them. According to CIO Melanie Sandlin, the system operates on the principle that yard management is pattern-driven; by training the software on Newsome’s decades of experience, the company can now identify and address bottlenecks at scale.
Industry consultant Bart De Muynck notes that yard operations remain a notoriously opaque segment of the supply chain, often lacking the rigorous key performance indicators found in warehouses or transportation departments. By digitizing manual processes—such as inspection reports—the company has reduced administrative friction, allowing staff to focus on driver coaching and site safety. Sandlin emphasizes that the success of the project relies on the company’s prior investment in a unified data infrastructure, warning that applying AI to siloed or inconsistent data only amplifies existing operational failures.
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