video1.0<iframe src="https://www.loom.com/embed/baf6339fef164d1ab63c5569d411046b" frameborder="0" width="1152" height="864" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8641152Loomhttps://www.loom.com8641152https://cdn.loom.com/sessions/thumbnails/baf6339fef164d1ab63c5569d411046b-00001.gif262.143In this video, we present our solution to the Big Data Challenge organized by FS. We address the issue of predicting retail shop orders by introducing a future where FS representatives know exactly what they need before they believe they chose. We discuss the four main pillars of our solution: description, custom rate, data analysis, and bonding with store owners. We also explain the three main challenges we faced: the data language challenge, the algorithm challenge, and the usability challenge. Our solution includes a user-friendly dashboard tailored for FS representatives, offering clarity and forecasted value graphs. We highlight our competitive advantages and revenue model. Watch the video to learn more!