Why the Montgomery v. Caribe Transport ruling highlights a larger problem inside freight operations

The May 14 Supreme Court ruling in Montgomery v. Caribe Transport II did not decide whether C.H. Robinson is liable.

But it raised the bar for how brokers document carrier-selection decisions

The Court ruled that state-law negligent-hiring claims against freight brokers are not automatically blocked by the Federal Aviation Administration Authorization Act when those claims involve motor vehicle safety. FreightWaves described the ruling plainly: freight brokers can be sued under certain negligent-hiring theories that many had argued were federally preempted.  

For freight brokers, this is not just a legal development. It is an operational warning.

The question is no longer only: Which carrier moved the load?
The harder question is: Can the broker explain why that carrier was chosen—and prove the decision followed company policy?

A Tender Record Is Not the Same as Decision Proof

Most transportation systems are good at recording events.

They can show the load number, carrier, rate, pickup time, delivery status, tender history and invoice trail. That matters. But a tender record usually answers what happened, not why it happened.

It may not show whether the carrier selection followed company policy. It may not show which risk signals were reviewed. It may not show whether margin rules were followed, whether customer-specific requirements were applied, whether an exception was approved or whether the right agreement logic shaped the decision.

That gap matters.

A freight broker may have moved quickly and documented the shipment. But if the business cannot reconstruct the decision logic behind the load, the record is incomplete.

A tender record shows activity. Decision proof shows reasoning.

Freight Decisions Are More Complex Than One Carrier Choice

Carrier selection is getting attention because of Montgomery, but it is only the most visible symptom of a broader operating challenge.

Freight companies make thousands of decisions every day that directly affect margin, service, compliance, and risk. Carrier approvals, pricing exceptions, accessorial disputes, routing changes, customer-specific billing rules, and service overrides all require judgment.

Yet many of those decisions still live outside structured systems. The transaction is recorded. The decision logic often is not.

When something goes wrong, companies can usually reconstruct what happened. Reconstructing why it happened is much harder.

Every shipment includes a chain of decisions:

• What rate should we quote?
• Which carrier is eligible?
• What margin is acceptable?
• Which customer rules apply?
• Which accessorials should be captured?
• When does an exception need approval?
• What agreement terms affect billing?
• What risk signals should stop or escalate the workflow?

In many brokerages, those answers still live across spreadsheets, emails, Slack threads, TMS notes, tribal knowledge and individual judgment.

That works until volume increases, people change seats, customers get more demanding or something goes wrong.

Then the business has to explain a decision that was never truly systemized.

Fragmented Systems Create Invisible Risk

The issue is not that freight teams lack data. Most have plenty of it.

The problem is that the data is not connected to the moment of decision.

Carrier data may live in one place. Pricing logic in another. Customer agreements in a shared drive. Margin approvals in email. Billing rules in accounting. Exceptions in someone’s head.

That fragmentation creates risk in three ways.

First, decisions become inconsistent. Two people can handle the same scenario differently.

Second, margin leaks. The business misses accessorials, applies the wrong rate logic or approves exceptions without visibility.

Third, accountability becomes harder. Leaders cannot easily see whether the process worked as intended.

The Montgomery ruling raises the stakes around carrier selection, but the broader lesson is about operating discipline. Freight decisions need structure before they become disputes, claims or write-offs.

The Next Step Is Decision Infrastructure

Freight brokers do not need more disconnected tools layered around the TMS.

They need decision infrastructure.

That means systems that can apply pricing logic, agreement terms, customer rules, margin thresholds, approvals and documentation in a consistent way across the business.

This is where modern architecture matters. A broker should not have to rip out every existing system to improve decision quality. The better path is modular: connect to the systems already in place, centralize the economic logic and automate the workflows that are too important to leave to memory.

That is the role G2Mint is built to play.

Miles, G2Mint’s Freight Automation Engine, sits close to the economic core of freight operations: rating, agreements, billing logic, workflow automation and margin control. It helps freight teams improve rate accuracy, apply rules consistently and create cleaner operational records without forcing a full TMS replacement.

That matters because decision proof is not created after the fact. It is created inside the workflow.

The Brokers That Scale Will Be the Ones That Can Explain Their Decisions

The freight industry has always rewarded speed. But speed without structure creates exposure.

The brokers best positioned for the next phase will not only be faster. They will be more consistent. More explainable. More disciplined in how they apply pricing, carrier, customer and billing logic across every load.

Montgomery may have put carrier selection under the spotlight. But the bigger issue is freight decision-making itself.

The question is no longer whether the shipment moved.

The question is whether the business can prove why it moved the way it did.

FAQ

What is the Montgomery v. Caribe Transport II ruling about?

The U.S. Supreme Court ruled on May 14, 2026, that state-law negligent-hiring claims against freight brokers are not automatically preempted by the FAAAA when motor vehicle safety is involved. The ruling allows certain claims against brokers to move forward in court, increasing focus on carrier selection and freight decision processes.

Why does the Montgomery ruling matter to freight brokers?

The ruling increases scrutiny around how brokers make and document operational decisions, especially carrier selection. Brokers may now face greater pressure to demonstrate consistent workflows, documented reasoning and operational controls behind freight execution decisions.

What is “decision proof” in freight operations?

Decision proof refers to the ability to explain and document why a freight decision was made. That includes pricing logic, carrier selection criteria, customer-specific rules, margin thresholds, approvals, risk signals and workflow history tied to a shipment.

Why are tender records no longer enough for freight brokers?

A tender record typically shows what happened during a shipment lifecycle, but not necessarily why decisions were made. Modern freight operations increasingly require visibility into the logic, workflows and operational reasoning behind pricing, carrier assignment and exception management.

How do disconnected systems create risk in freight brokerage?

When pricing, carrier data, agreements, billing logic and approvals exist across separate systems, teams often make inconsistent decisions. This fragmentation can lead to margin leakage, billing disputes, operational errors, compliance gaps and difficulty reconstructing shipment decisions later.

What is freight decision infrastructure?

Freight decision infrastructure refers to the systems and workflows that standardize operational logic across transportation processes. This includes rating engines, agreement management, workflow automation, approval logic, margin controls and connected operational data.

How can freight brokers improve operational consistency?

Brokers improve consistency by centralizing pricing and agreement logic, automating repetitive workflows, standardizing approvals and connecting operational systems through API-based infrastructure rather than relying on spreadsheets and tribal knowledge.

How does automation help freight brokers scale without adding headcount?

Automation reduces repetitive manual work tied to rating, approvals, exception handling, billing workflows and shipment coordination. This allows brokers to increase shipment throughput, improve response times and protect margins without proportionally increasing labor costs.

What role does economic intelligence play in freight operations?

Economic intelligence helps freight organizations make more accurate and profitable decisions before freight moves. It connects pricing logic, margin analysis, customer agreements, carrier economics and workflow automation into a more consistent operational framework.

How does G2Mint help freight organizations modernize transportation operations?

G2Mint helps brokers, shippers and carriers modernize transportation workflows without requiring a full TMS replacement. Miles, G2Mint’s Freight Automation Engine, improves rate accuracy, workflow consistency, agreement management and margin control through modular, API-first transportation architecture.