video1.0<iframe src="https://www.loom.com/embed/d7b40db6f2874e5ea8d9c4d2ced50119" frameborder="0" width="1662" height="1246" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12461662Loomhttps://www.loom.com12461662https://cdn.loom.com/sessions/thumbnails/d7b40db6f2874e5ea8d9c4d2ced50119-037ede3f7059c19b.gif99.09This Loom demonstrates how Goldilocks ranks furniture models for a specific customer persona using body and needs-based dimensions rather than person-based matching. Using Maya’s customer information, it shows sofa model data being ranked by the Subconscious API, with a second opinion optionally provided by the Base10 API before delivering a final verdict and linking to the sofa on the Wayfair website. It also explains that users can search by their own body details, such as being 6'2 with prone lumbar pain or lumbar injuries, to autofill the input data and receive a response.