AI readiness for transportation
Gaugepoint helps transportation and supply chain leaders determine where probabilistic AI can improve decisions, where deterministic logic should control execution, and what must be redesigned before either will work. Together, we find the workflows where AI can create measurable value.
Operator led. Vendor neutral.
Before AI
Transportation work already moves through a system of inboxes, spreadsheets, calls, and operating platforms. Exceptions reveal whether that system is ready.
People become the integration layer between tenders, emails, calls, and customer requirements.
The Gaugepoint AI Readiness System
Readiness is the alignment required to produce measurable Value, not a technology score.
Operating transformation
Growth creates leverage only when the operating model can absorb it without reproducing manual work.
01 · Fragmented operation
Technology judgment
Gaugepoint helps leaders distinguish an AI opportunity from a process, management, or systems problem. The answer may be probabilistic AI, deterministic automation, business-process redesign, or another technology better suited to the work.
The process is unstable. Structure the work first.
The decision requires accountable judgment. Improve the evidence, not remove the owner.
The data cannot support a dependable result. Fix the operating foundation.
The economics do not justify the change. Choose the simplest useful intervention.
Governance
The system can recommend, coordinate, or execute only what the operation has deliberately authorized.
Who Gaugepoint works with
Choose a segment to see where AI readiness and operating transformation create practical value.
AI-optimized operations
Improve asset utilization, network performance, dispatch flow, and exception control.
Operator-led advisory
Mark McKendry has spent more than two decades across rail, intermodal, drayage, trucking, and integrated logistics, including approximately 15 years at a Class 1 railway and 10 years in senior leadership at a leading 3PL.
Start with readiness
Identify where value exists, what must change first, and how to proceed responsibly.