Tariff rates on imported goods are changing constantly a new Section 301 regime rolled out across 60+ countries on July 24, 2026 alone and small importers have no fast way to know their real cost. Most end up guessing or paying a customs broker just to find out, often losing money on decisions they could have made with better information. TariffTwin solves this with a simple, honest workflow. A user describes their shipment product, source country, and value and instantly sees their estimated landed cost, broken down into base duty and current additional tariffs, each backed by a real, dated source. The core feature is the country comparison: switch the source country and watch the cost recalculate live, so an importer can immediately see whether sourcing from Vietnam instead of China actually saves them money. Where TariffTwin stands apart is its honesty. When current tariff data can't be confirmed for a given product or country, it says so directly Unconfirmed rather than fabricating a number. That single design choice is the whole point: this isn't a chatbot guessing at trade policy, it's a tool built to be trusted. TariffTwin was built entirely in native.builder, using AI/ML API for product classification and cost reasoning, with tariff data sourced from official US trade references (USITC HTS, USTR notices). It targets a real, common decision small manufacturers and importers face today, in an industry most hackathon projects don't touch.
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