{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/473d84b4060b419393569b6212327513\" frameborder=\"0\" width=\"1874\" height=\"1405\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1405,"width":1874,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1405,"thumbnail_width":1874,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/473d84b4060b419393569b6212327513-00001.gif","duration":271.4,"title":"Last Mile Delivery Optimization Demo","description":"Hi, my name is Savin Patel, Chief Technology Officer at InfinityQ. In this video, I'll be demonstrating our last mile delivery solution. We'll be optimizing a dataset of 10,000 addresses in the Montreal area, simulating a peak day before Christmas. I'll show you how our system handles constraints like work shift time, dwell time, and fleet size. We'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' needs."}