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Freight Industry's Real Problem: Unenforced Standards, Not Data

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Michael Caney, Chief Customer Officer at carrier-identity platform Highway, argued at the FreightWaves Broker Compliance Symposium that the freight industry's persistent fraud problem stems not from insufficient data or tracking, but from a fundamental lack of shared, arbitrated, and enforceable standards. Despite massive investments in tracking technology and data collection, fraud losses continue climbing, suggesting the industry has been treating the symptom rather than the underlying condition. The core issue is that thousands of small data sources (insurance agents, telematics providers, factoring companies) feed brokers unreliable information with minimal accountability, and brokers themselves override rules so frequently that compliance frameworks have become ineffective. Caney outlined three critical gaps preventing fraud reduction: first, the fragmentation of data sources means roughly 40 insurance agents cover half the vehicles while 200 cover only 3 percent, creating inconsistency and unreliability; second, reported carrier performance metrics often misrepresent actual compliance (90 percent reported versus 75 percent verified); and third, brokers lack tools to verify that carriers actually carry the correct insurance for specific loads or commodities.

The uncomfortable reality is that brokers sit at the center of this risk ecosystem, with a $600 million verdict against C.H. Robinson underscoring the cost of ineffective standards enforcement. The path forward, according to Caney, requires a shift from accumulating rules to embedding verified decisions into workflows. Rather than adding more tracking data or compliance rules, the industry needs network-level accountability where telematics providers face de-certification for networks riddled with fraudulent carriers, and carriers lose access for submitting false performance data.

This represents a structural shift in how the freight industry manages risk: from tribal knowledge and cubicle-based sticky notes to automated, context-aware verification powered by enforceable standards. Supply chain teams should recognize that compliance frameworks built on rules alone are insufficient; the companies that establish and enforce shared standards will define competitive advantage in the next decade.

Frequently Asked Questions

What This Means for Your Supply Chain

Simulation Suggestion
immediate

What if 25% of carriers falsify compliance data like Highway data shows?

If reported carrier compliance data overstates actual performance by approximately 15 percentage points (90 percent reported versus 75 percent actual), simulate the impact on broker vetting decisions, carrier selection, and fraud exposure. Model the cost difference between carriers that falsify data versus those providing verified performance, and estimate how many additional loads brokers would route to false-flagged carriers under current vetting processes.

Run this scenario
Simulation Suggestion
this month

What if brokers replace volume-based tracking fees with performance-guaranteed loads?

Model the cost and service-level impact if brokers shift from their current tracking expense structure (billed on pings and searches) to a model where $500 per load guarantees on-time delivery. Estimate the break-even point between current tracking costs and guaranteed load fees, and simulate how enforcement mechanisms and verified carrier networks change broker load acceptance rates and fraud exposure.

Run this scenario
Simulation Suggestion
strategic

What if enforcement mechanisms de-certify 15% of telematics provider networks?

Simulate the impact on broker routing options and carrier availability if telematics providers with fraudulent carrier networks face de-certification. Model how reduced data source options change vetting confidence, load placement speed, and whether brokers must accept higher-risk carriers due to capacity constraints. Estimate the service-level and cost implications of working with fewer, more reliable data sources.

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