<?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/473d84b4060b419393569b6212327513&quot; frameborder=&quot;0&quot; width=&quot;1874&quot; height=&quot;1405&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1405</height><width>1874</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1405</thumbnail_height><thumbnail_width>1874</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/473d84b4060b419393569b6212327513-00001.gif</thumbnail_url><duration>271.4</duration><title>Last Mile Delivery Optimization Demo</title><description>Hi, my name is Savin Patel, Chief Technology Officer at InfinityQ. In this video, I&apos;ll be demonstrating our last mile delivery solution. We&apos;ll be optimizing a dataset of 10,000 addresses in the Montreal area, simulating a peak day before Christmas. I&apos;ll show you how our system handles constraints like work shift time, dwell time, and fleet size. We&apos;ll also discuss our quantum-inspired backend and how it enables us to solve larger and more complex optimization problems. Watch the video to see the real-time results and learn how our solution can be customized for different customers&apos; needs.</description></oembed>