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Logistics Software Implementations Stumble Over Data Quality Issues

Freight technology providers are scaling sophisticated capabilities across transportation management and container visibility platforms, but operational disappointments are mounting as implementations move beyond pilot phases.

Michael Rentz, Chief Revenue Officer of Gnosis Freight, identifies a fundamental problem: advanced systems amplify underlying data weaknesses rather than compensating for them. When container data is incomplete, delayed, or contradictory, systems don't fail gracefully—they execute incorrect actions with confidence and propagate errors across entire operations.

Gnosis Freight, founded in 2017 by Austin McCombs with a focus on container tracking, discovered that solving data infrastructure across the container lifecycle must precede downstream applications. Most industry participants, according to Rentz, are bypassing foundational data work to pursue advanced capabilities, explaining why demonstrations often look promising while production deployments falter.

The sector's readiness to implement advanced systems continues to outpace its ability to establish clean, validated data foundations.