video1.0<iframe src="https://www.loom.com/embed/8ef57d5820e74f598f2b88fa9265ba09" frameborder="0" width="1670" height="1252" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12521670Loomhttps://www.loom.com12521670https://cdn.loom.com/sessions/thumbnails/8ef57d5820e74f598f2b88fa9265ba09-54614f24ff84cbc1.gif470.549This Loom demonstrates Augusts Digital Twins platform for commerce, showing how to generate and use customer-like twins for product feedback. It explains that behavior and interaction data collected by a pixel are fed into a training pipeline to produce personality and decision-making models, which are injected into an LLM to create conversational twins. In the Cartadillo demo org, five go-to-market team member twins are used for an interview with Rishabh, whose feedback on a bike PDP cites details like near 50 percent off and concerns about only four reviews for a 4000 bike. The Loom then shows a focus group feature where a moderator orchestrates structured feedback using a Figma mock and summarizes consensus, exemplar responses, and purchase impact insights.