Thanks for the shoutout! Gulnaz here from Easysize. We use a range of factors (combined with ML) to recommend the right size and fit: from gathering product-sp

Thanks for the shoutout! Gulnaz here from Easysize. We use a range of factors (combined with ML) to recommend the right size and fit: from gathering product-specific post-purchase feedback, analyzing orders & returns and asking shoppers about their unique sizing challenges. IMHO when it comes to recommending the right size at scale, the key challenges are: 1. taking into account fit and style: the same shoppers may like slim-fitted shirts and oversized sweaters. 2. keeping UX super simple: shoppers get bored and annoyed when they're asked too many questions or asked to perform some other actions. 3. taking into account unique product features: fabric, clothing cut etc.