<?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/5d5a331efe76408db1571e7a1356e94a&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/5d5a331efe76408db1571e7a1356e94a-bf89b939435bbc7d.gif</thumbnail_url><duration>55.574</duration><title>Finding Furniture Using AI Image Analysis</title><description>This Loom explains how Furnished helps users find where to buy furniture by analyzing photos and video frames. It uses a subconscious API to analyze various frames from past videos or individual images and then uses a search tool to find similar products on the Wayfair site based on those descriptions. It also has a mobile version that can analyze Instagram reels users share, using AWS recognition, AWS NovaLite, and other subconscious agents to identify and match items.</description></oembed>