{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/bb198e9ba0ef47baa099d1527c1d4a88\" frameborder=\"0\" width=\"1660\" height=\"1245\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1245,"width":1660,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1245,"thumbnail_width":1660,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/bb198e9ba0ef47baa099d1527c1d4a88-dad7c69cadec7b89.gif","duration":68.895,"title":"Trade Shock AI Detects Tariff Impact Early","description":"This Loom explains how Trade Shock AI analyzes a tariff change to predict supply chain impact before it becomes an operational failure. It starts with a 25% tariff on upholstered furniture imported from Vietnam, effective June 1, and shows how the agent parses the policy to identify affected countries, categories, SKUs, suppliers, at-risk purchase orders, projected cost exposure, and impacted customer orders. The SKU impact table outlines how landed cost changes and gross margin drops. The workflow is traced from policy parsing through mitigation planning, including recommending actions such as holding risky purchase orders."}