<?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/e2cdc4bca6d8481eb1a8780c4b19d725&quot; frameborder=&quot;0&quot; width=&quot;1108&quot; height=&quot;831&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>831</height><width>1108</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>831</thumbnail_height><thumbnail_width>1108</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e2cdc4bca6d8481eb1a8780c4b19d725-6c0e9fa208e279e4.gif</thumbnail_url><duration>298.421</duration><title>Enhancing Retail Operations with AI 🛒</title><description>Hey there! In this video, I showcase how we utilized AI in our retail cloud to analyze real-time video data from security cameras in our store. By querying the data using natural language, we can get insights on customer count, checkout status, and even potential issues like spills or out-of-stock items. I demonstrate how we can create customized agents to automate responses based on specific queries, making store management more efficient. Join me in exploring the future of retail operations with AI! 🤖</description></oembed>