Tariffs have become the headline measure of trade disruption. But for businesses operating across the border, a more persistent risk hides somewhere less visible, the inability to trust the data behind every transaction. A tariff hike is loud. Companies can model it, budget for it and adjust pricing or sourcing accordingly. But wrong HS code, inconsistent product classification or mismatch between customs, ERP and banking records can remain silent for months until it triggers a compliance query, delays clearance or blocks a licence.
The real cost, therefore, is not always the tariff itself. It is the data failure that propagates across systems, compounds over transactions and eventually disrupts the business. This makes data integrity an increasingly critical component of trade resilience.
Also read: The Impact of US Tariffs on the Logistics Industry
As supply chains stretch across more countries, enterprises must navigate a growing maze of systems and regulatory frameworks. Product classification, country of origin, valuation, export obligations and documentation are no longer isolated compliance tasks. But the interconnected data points, where an inconsistency in one can trigger failures across the entire trade lifecycle. Yet many organisations still patch these systems together with spreadsheets and manual reconciliation. The challenge is not a lack of data. It is that data sits in silos, creating multiple versions of the truth and leaving enterprises to determine which one they can trust.
This is where AI must play a more serious role in global trade. The next generation of trade technology must go beyond automating documents. It must connect data across ERP platforms, customs portals, shipping workflows and financial records, detect discrepancies before they become violations, and trace how every transaction was validated. That traceability is critical. When an enterprise can prove where a piece of data originated, which rule was applied and why a decision was made, compliance moves beyond simply filing on time. It becomes transparent, auditable and defensible.
Also read: Donald Trump Charges 26% Reciprocal Tariff on India: What are Reciprocal Tariffs?
For CXOs, this demands a shift in how trade compliance is viewed. The question can no longer be only, “Are we filing on time?” It must also be, “Can we trust what we are filing?”
In an increasingly volatile trading environment, technology that builds a trusted data layer across the import-export lifecycle is not just about efficiency. It is about protecting revenue, reducing regulatory exposure, and enabling confident expansion into new markets. The next competitive advantage in global trade may not come from navigating tariffs better than competitors. It may come from being able to prove at any moment, in any jurisdiction that your data can be trusted.
The article has been written by Haresh Calcuttawala, CEO and Co-founder, Trezix
