<?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/8bedddf0ffc3488497445717ffd61d17&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/8bedddf0ffc3488497445717ffd61d17-ce4d354429b6c484.gif</thumbnail_url><duration>568.28</duration><title>Enhancing Autone&apos;s Sales Explainability</title><description>In this video, I share a case study on how we transformed Autone&apos;s sales platform by addressing a significant explainability issue. We discovered that our users needed more than just raw data; they required a comprehensive understanding of their sales metrics. After thorough research and collaboration with our customers, we developed a new interactive chart view that provides deeper insights into inventory and sales performance. I encourage you to review the changes we&apos;ve implemented and share your thoughts on the new features.</description></oembed>