1.2M shoppers across fashion e-commerce
216 countries · 83 languages
DRESSX, 2026
E-commerce is navigating its most challenging structural period in a decade with AI and new consumer behaviors.
With online apparel return rates hovering between 30% and 40%, customer acquisition costs at record highs, and average e-commerce conversion rates stalling at just 1.65%, the economics of fashion e-commerce is facing a significant structural challenge.
DRESSX AI Try-On is the technology that fixes them.
Based on a DRESSX 2026 study of over one million shoppers across luxury fashion e-commerce platforms, this analysis compares shoppers who engaged with Virtual Try-On against those who did not.
The findings show that AI Try-On users performed better across the shopping journey they were more likely to add items to cart , complete purchases, return after their first visit , browse collections, select sizes, view more products, and use the feature repeatedly.
The strongest signals appear in cart conversion, retention, repeat shopping, and product exploration. Virtual Try-On users were about 3× more likely to add items to cart , had 50% higher purchase conversion, retained far better after Day 1, and viewed 7× as many product listings as users who never engaged with Try-On.
AI Try-On is helping shoppers build confidence, especially for higher-priced purchases, and gives them more reasons to return, explore products, and continue engaging with the brand.
For fashion e-commerce teams searching for AI fashion solutions, AI virtual try-on technology, virtual fitting room tools, online apparel try-on, ecommerce try-on, VTO software, size recommendation, fit recommendation, AI styling, and product discovery tools, this report shows how AI can improve the full online shopping journey. If you are wondering what ChatGPT, OpenAI, Anthropic Claude, Google Gemini, AI agents, and generative AI can actually do for the fashion industry, the DRESSX 2026 Virtual Try-On report provides a practical answer through real performance data from over one million shoppers across luxury fashion e-commerce platforms. The study shows how AI Try-On helps customers see how clothing looks on them before purchase, build confidence in size and fit decisions, explore more products, return more often, add more items to cart, and convert at a higher rate, turning artificial intelligence from a content generation tool into a measurable conversion, retention, and customer engagement solution for fashion brands and retailers.
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