What is asset-based drayage and how does Go-Freight.ai's model differ from brokerage?

Asset-based drayage means Go-Freight.ai owns and operates its own fleet of 100 trucks rather than brokering loads to third-party carriers. This provides dedicated capacity, more predictable service, and direct control over pickup and delivery timelines—critical advantages in congested ports like Everglades and Miami where scheduling consistency matters.

Why is a 100-truck fleet significant for South Florida ports?

Port Everglades and PortMiami are among the busiest U.S. container terminals. A dedicated fleet of this size can handle thousands of weekly container moves, reducing reliance on spot market trucking and providing shippers with guaranteed capacity during peak seasons or when container imbalances occur.

What supply chain benefits does this deployment create for Florida-based shippers?

With 100 dedicated trucks, shippers can expect faster appointment availability, reduced gate wait times, more predictable dwell charges, and integrated tracking. This is especially valuable for perishables, automotive components, and time-sensitive retail goods moving through South Florida.

How does this affect regional competition in South Florida drayage?

Go-Freight.ai's entry as an asset-based operator challenges traditional brokerage-heavy players and may put pressure on trucking rates and service standards. Shippers benefit from increased competition and more transparent pricing, though small independent truckers may face margin compression.

Is 100 trucks enough to serve all of Florida as claimed?

While the fleet is based at Port Everglades and PortMiami, 100 trucks can service intra-Florida distribution by operating routes between ports and inland distribution hubs. However, 'serving all of Florida' likely means geographic coverage for first-mile/last-mile operations from these two major gateways rather than exclusive statewide capacity.

Shipping & Freight

Moderate

Go-Freight.ai Expands Drayage Fleet to 100 Trucks at South Florida Ports

Jul 1, 2026

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The signal

ai has established a significant asset-based drayage operation with 100 trucks serving Port Everglades and PortMiami, positioning itself as a regional drayage provider for the South Florida market. This expansion indicates growing demand for dedicated container transportation solutions in one of North America's busiest port complexes, where congestion and capacity constraints have historically challenged shippers.

ai is betting on sustained demand for reliable drayage services in the region. Port Everglades and PortMiami together handle millions of TEUs annually, making South Florida a critical gateway for consumer goods, automotive parts, and other containerized freight destined for Florida and beyond.

For supply chain professionals managing inbound or outbound logistics through South Florida ports, this development signals the emergence of a new dedicated drayage player capable of handling volumes that previously might have relied on broker networks or traditional trucking providers. The expansion supports faster gate-to-warehouse and warehouse-to-gate operations, potentially reducing dwell time and improving port efficiency in an increasingly congested corridor.

#drayage-fleet

#port-everglades

#portmiami

#asset-based-logistics

#florida-supply-chain

#regional-distribution

Frequently Asked Questions

What This Means for Your Supply Chain

Simulation Suggestion

this month

What if port congestion increases dwell times by 50% at Everglades/Miami?

Model a scenario where container dwell times extend from 3 days to 4.5 days due to terminal congestion or labor shortages. Simulate impact on Go-Freight.ai's truck turns per day, required fleet size to maintain service levels, and resulting cost pressures on shippers.

Run this scenario

Simulation Suggestion

strategic

What if Go-Freight.ai's fleet utilization drops due to seasonal demand swings?

Simulate a 40% reduction in drayage demand during low-season months. Model how excess truck capacity impacts service reliability, pricing flexibility, and ROI. Analyze break-even utilization rates and whether dedicated fleets remain viable during off-peak periods.

Run this scenario

Simulation Suggestion

immediate

What if fuel costs spike 25%, affecting Go-Freight.ai's pricing and margins?

Simulate a sudden 25% increase in diesel prices and model pass-through pricing to shippers, margin compression, and competitive dynamics. Assess whether Go-Freight.ai's dedicated model can absorb cost inflation better or worse than broker-based competitors.

Run this scenario

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