<?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/aebaf69708c04e198ab4b30e5999d18d&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/aebaf69708c04e198ab4b30e5999d18d-cd6da692f27e92e8.gif</thumbnail_url><duration>340.814</duration><title>AI Inspections Pro with Fleet AI</title><description>This Loom explains how AI Inspections Pro in the Fleet AI package augments vehicle inspections by using artificial intelligence to review inspection photos, responses, and driver comments. It helps identify potential issues such as scratches, dents, rust, leaks, excessive water, and also flags blurry or incomplete photos to verify inspection items were completed correctly. When AI suggestions are clicked, managers can create a defect to send into the maintenance workflow or ignore the suggestion for driver coaching and follow-up. The Loom also covers providing thumbs-up or thumbs-down feedback so Whiparound can evaluate and improve AI performance over time.</description></oembed>