<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/a907b4c014674e66b1b86f7662396489&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/a907b4c014674e66b1b86f7662396489-b235daf8c7b48479.gif</thumbnail_url><duration>235.264</duration><title>Vocom AI Forecasting Supply Chain Risk</title><description>Hi everyone, I am Kevin from Vokom AI. In this video I walk through our Supply Chain Risk Management Tool, which overlays your internal ERP data with over 25,000 global indicators and 10 billion data points to turn past data into forward looking insight. I share a tier one automotive and electronics example where their manual 852 SKU planning in Excel was replaced with automated weekly forecasts, anomaly alerts, and driver analytics tied to factors like car sales and exchange rates. We also help run what if scenarios, monitor 1,700 ports, and track real time raw material prices to protect margins and prevent disruptions. No action was directly requested from viewers.</description></oembed>