{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/8bedddf0ffc3488497445717ffd61d17\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/8bedddf0ffc3488497445717ffd61d17-ce4d354429b6c484.gif","duration":568.28,"title":"Enhancing Autone's Sales Explainability","description":"In this video, I share a case study on how we transformed Autone'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've implemented and share your thoughts on the new features."}