Real Problems. Real Results. No Guesswork.

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A high-volume truckload operation was losing significant billing revenue due to inconsistent processes, missing standards, and lack of visibility.

We designed and deployed standard work, tech-supported processing, throughput measurement, and payment transparency.

Result: $500K–$700K in additional revenue recovered per month — with the process subsequently becoming the foundation for automation.

Shipment tracking is one of the most manual, underinvested areas in logistics operations. Role segmentation between commercial and capacity teams introduces  redundant effort on every load.

We identified over 1 million non-value add manual touches per month and designed a solution combining standard work, AI agents, and process redesign to eliminate them.

Projected result: 1M+ touches removed monthly — transforming tracking from a legacy cost center into a forward-focused, scalable service capability.

Cross-functional decision models had grown to over 850 variables — slowing response times and degrading data integrity.

Customer expectations vary, and commercial teams tend to create custom solutions.

We redesigned the framework, reducing 850 input variables to 25 — improving accuracy, response speed, and reporting reliability for both sales and operations teams.