Скачать или смотреть Tariffs Decoded: What Distributors Must Know with Jonathan Mahan & John Millen

Guest: Jonathan Mahan & John Millen
Host: Justin King

In this episode of the B2BEA Insider, Justin King sits down with Jonathan Mahan and John Millen from DataX.ai to explore the growing complexity of global trade and how machine learning is helping distributors and manufacturers navigate the high-stakes world of tariffs.

As tariff codes become more nuanced and regulatory updates accelerate, misclassification can cost businesses millions. Jonathan and John break down how AI can be leveraged to automatically classify products with up to 99% accuracy—based on something as simple as a product title—and why human oversight still plays a critical role.

They also discuss how transparent pricing (including line-item tariff breakdowns) improves customer trust, why forecasting requires real-time tariff intelligence, and what it really takes to implement a scalable, accurate HTS code classification system.

Key topics include:
• Why misclassified HTS codes can lead to massive financial penalties
• The impact of tariff volatility on B2B eCommerce pricing and margins
• How machine learning models are trained on tariff data for automated classification
• What data attributes matter most for accuracy—and when a product title is enough
• The importance of combining HTS codes with country-of-origin data
• Why transparency in pricing (base + tariff) is a game-changer for customer experience
• Real-world client use cases and success stories from DataX.ai
• The difference between AI hallucinations and sales "spin"—and why human validation still matters

This episode is essential listening for operations leaders, product data teams, and digital execs navigating cross-border trade, classification compliance, and tariff strategy in the digital commerce era.