Research highlights that allowing customers to physically or virtually test clothing before committing to a purchase addresses several key psychological and logistical barriers:
: Papers like those found on Semantic Scholar and ScienceDirect argue that TBYB programs (like Amazon's Prime Wardrobe) decrease functional, physical, and financial risks for consumers. try clothes before buying
: Customers order multiple items (e.g., different sizes or styles) at no upfront cost, keep them for a trial period (typically 7 days), and are only charged for what they keep. This is extensively discussed as a strategy to mitigate PFU at no cost of shipping. Research highlights that allowing customers to physically or
: Studies indicate that AI-driven virtual fitting rooms improve size accuracy and purchase confidence, which can significantly reduce fashion return rates for brands. : Studies indicate that AI-driven virtual fitting rooms
According to literature and industry analysis, there are two main ways this "try before buying" promise is fulfilled:
: Tools like Google Shopping Try-On or the experimental Doppl app use generative AI to show how clothes look on a digital version of the user's actual body, rather than a generic model.