Congrats on launching. Very interesting to see as someone who's into the intersection of fashion/design x tech. This is based more on availability from brand t

Congrats on launching. Very interesting to see as someone who's into the intersection of fashion/design x tech. This is based more on availability from brand than retailer but would make a huge difference in conversion: Images with more isometric/perspective views of clothed models convey more information (replacing need for up to 3 separate pictures [front+side+back] and/or rotation in many cases), thus more valuable to the consumer. However, this is less of an issue with standardized "flat" items and related categories like athleisure (t-shirts, sweatshirts, joggers, etc). Good move with the skin shade feature - visualizing how an outfit contrasts/complements one's complexion is as important as fit. Needs some fine tuning though; there's some mismatch between models and listed shades. Per people wanting to see models of similar build, try a regional or brand base approach: Generate a list of model types to use based on researching a) most common body types for each sex in a given geography (extra layer of detailing would be sub-categorization to account for differences in physiology across various ethnicities where applicable) or b) most common body types for each sex in a given brand's clientele or across multiple brands in given fashion category.