<?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/755d007b24f7424780075388cb9f2458&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/755d007b24f7424780075388cb9f2458-062a62a6ed9ef724.gif</thumbnail_url><duration>159.174</duration><title>Demo: ML-Powered Product Recommendations in the Return Portal</title><description>In this video, I walk you through our new ML-based product recommendations feature in the Shopper Portal, designed to enhance the shopping experience by leveraging purchase and return history. We believe this feature can improve overall exchange rates for our merchants and drive better net revenue retention through upsell and downsell capabilities. I demonstrate how it works, including options for exchanges and upsells, highlighting the potential for increased shopper engagement. I encourage you to explore this new feature and consider how it can benefit your business. Please let me know if you have any questions or need further clarification!</description></oembed>