KPMG and EQI introduced AI-driven systems to help U.S. importers handle sudden tariff shifts following recent Supreme Court decisions, featuring generative models designed to ingest and classify large volumes of customs data.
The tools automate tariff-code classification and can flag possible overpayments by cross-referencing when and where duties were paid. KPMG's offering was positioned as an AI-powered tariff modeler that consolidated decentralized customs entries, supplier details and broker records to identify refund opportunities. EQI paired supply chain modeling with the Altana platform to simulate sourcing moves and calculate landed costs across tariffs, manufacturing and freight.
For importers, these systems shortened weeks-long refund and scenario analyses into same-day insights, reducing manual error and enabling faster sourcing decisions while leaving strategic judgment to human teams.
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Key Themes Behind This Trend
- AI-powered Tariff Classification
- A generative-model system that ingests customs entries, supplier and broker records to classify tariff codes at scale and surface misclassification-related refund opportunities.
- Real-time Tariff Simulation
- Scenario modeling that calculates landed costs across tariffs, manufacturing and freight to reveal sourcing sensitivity to sudden duty changes.
- Cross-border Refund Automation
- Automated cross-referencing of payment timing and duty records that identifies potential overpayments and compresses refund timelines.
Where This Applies
- Customs Brokerage
- Consolidated AI classification tools that shift brokerage work toward oversight of algorithmic decisions and exception handling.
- Global Sourcing and Logistics
- Integrated tariff simulation platforms that reshape supplier selection by quantifying landed-cost impacts of tariff swings.
- Trade Compliance Software
- Platformized compliance suites embedding generative models that centralize decentralized customs data and accelerate auditability.
