Border Crossing Data Offers Early Warning Signals in a Shifting Tariff Landscape

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  June 16th, 2025|Written by
Michael Cottle

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Businesses across the globe are navigating a period of heightened uncertainty as U.S. tariff policy remains in flux. Shifting global trade policies have put pressure on supply chains and introduced new layers of complexity to cross-border commerce. In this fluid environment, traditional methods for tracking trade activity are proving to not demonstrate the accuracy and immediacy required to track trade activity. Companies need faster, more direct indicators of what’s happening on the ground—and that starts with understanding what’s happening at borders and ports.

Read also: Cross-Border Ecommerce Is Booming: Here’s How Logistics Must Evolve

One of the most reliable and underutilized early signals of change lies in commercial vehicle activity at U.S. border crossings and ports. Freight traffic offers a direct view into how companies are responding to evolving trade conditions. Whether businesses are preemptively stockpiling goods, rerouting shipments to avoid new duties, or scaling back exports in response to retaliatory tariffs, these decisions are ultimately reflected in cross-border traffic flows.

Why Border Data Matters

Near real time tracking of vehicle movements at crossings and ports – especially freight vehicles – provides a timely and granular view of how trade is evolving. 

A sudden drop in southbound truck traffic from the U.S. to Mexico, for example, might signal that companies are cutting back on exports or adjusting production timelines in response to tariff risk. Conversely, a surge in northbound freight could indicate inventory building ahead of a pending policy change.

Unlike earnings reports or customs declarations, which can lag behind real-world developments by weeks or months, border crossing data tells the story as it unfolds. This kind of visibility allows businesses to anticipate challenges earlier, make operational decisions with more confidence, and reduce exposure to unforeseen trade friction.

Spotting Tariff Avoidance and Shifting Trade Routes

In some cases, freight data can reveal how businesses may be shifting goods to less-restricted border crossing or alternative routes to sidestep tariffs. These efforts show up as unexpected spikes or shifts in traffic. For instance, an unusual surge in commercial activity at a lesser-used border crossing may indicate an emerging workaround or new gray-market route taking shape.

These changes often appear before anything is officially reported, giving early clues that companies are adjusting their supply chains. Businesses can use this insight to see if competitors are gaining an advantage by moving goods more efficiently, cutting fees, or switching suppliers. It’s a real-time view into how the market is adapting and where others may be getting ahead.

Using Freight Data to Improve Supply Chain Planning

Freight traffic data also helps businesses manage their logistics more proactively and effectively. Changes in truck volume, wait times, or delays at border crossings affect everything from delivery schedules to warehouse staffing. By monitoring this activity, logistics teams can make smarter decisions about how to route shipments, when to send them, and where to focus resources.

For instance, if traffic starts to back up at a major border crossing because of new tariffs, inspections or policy changes, companies can quickly reroute shipments, notify partners, or switch to different transportation methods. In today’s unpredictable trade environment, being able to react quickly to these signals is critical for keeping operations running smoothly and avoiding costly disruptions.

Long-Term Strategy: Identifying Trade Pattern Shifts

While short-term surges and slowdowns are critical to track, border data can also show long-term structural changes. Sustained increases or decreases in freight activity at specific crossings can signal deeper shifts in sourcing and production. Companies can use these trends to assess whether trade flows are moving from one region to another, and what that might mean for their long-term strategy.

This information isn’t just valuable for logistics. It’s crucial for procurement, product planning, and even site selection. Understanding where supply chains are going next helps companies stay ahead of labor, infrastructure, and regulatory shifts before they take hold.

From Lagging Indicators to Leading Insights

All of this speaks to a broader evolution in how global businesses and institutions need to think about data. As trade flows become more volatile, and as the rules that govern them shift more frequently, traditional lagging indicators no longer suffice. Timely, directional data, especially data that captures real-world movement, provides a more agile way to understand and respond to changing conditions.

The Road Ahead: Building Resilience with Border Visibility

Looking ahead, border crossing data is poised to become an essential part of the modern trade intelligence toolkit. Whether for a multinational firm deciding where to source raw materials, a retailer evaluating inventory risk, a freight operator optimizing routes, or a policymaker shaping trade strategy, the ability to observe patterns at the border in real time can drive better decisions.

As tariff negotiations continue to evolve and the global trade landscape shifts with them, businesses that leverage real-time border data will be better positioned to respond. This visibility allows teams to move beyond reacting and begin anticipating. It gives them a sharper understanding of what’s changing, where it’s happening, and how to adapt in ways that protect margins, reduce delays, and preserve competitiveness.

Author Bio

Michael Cottle is the senior vice president for INRIX Enterprise. For more than 25 years, Michael has built successful software businesses, working with OEMs and Tier One partners around the world. He has expertise in alternative data markets such as financial services and retail site selection, and is passionate about helping customers realize their vision for creating innovative navigation driver safety solutions. Prior to INRIX, Michael held executive-level positions at companies such as Mapbox, deCarta (acquired by Uber), Apple, and Telenav. He also led the development of deCarta’s navigation solution, which today forms the basis of Uber’s driver navigation app.