{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7c5df9f3985d4ce08b67196b5483f9e7\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/7c5df9f3985d4ce08b67196b5483f9e7-6884b353c4aa33a7.gif","duration":267.235,"title":"Sorel Skin Demo - AI-Powered Product Discovery","description":"This Loom demonstrates Sorel Skin, an AI-powered product discovery tool for beauty and lifestyle brands to help first-time visitors find a routine without sales associates. It explains using a four-question quiz that maps to matching criteria like concern, skin feel, routine level, and budget, with budget intentionally asked last to avoid bias. The presenter notes research that completion rates drop after five questions and that adding more questions with an eight-product catalog can create false precision. They also contrast AI with rule-based matching by showing how brand context and product language (such as ceramides and fragrance) support more specific, combined recommendations for dryness and sensitivity."}