52% of online apparel returns are size-related. Each size return costs $10–$25 to process. Size guides are static and unhelpful — they work for the average body, not real bodies. International shoppers face confusing size conversions. Sizing uncertainty reduces conversion by 15–25% as shoppers abandon rather than guess.
AI size recommendation widget that integrates into product pages, asks shoppers 3–4 simple questions, and recommends the perfect size based on body measurements, past purchases, and brand-specific fit data — reducing returns and increasing conversion.
Fashion and apparel e-commerce brands with return rates above 25%, footwear retailers losing sales due to sizing uncertainty, and brands expanding internationally where sizing standards differ
Fashion e-commerce continues growing but returns remain the #1 challenge. AI can now model body shapes from minimal input. Privacy-friendly approaches avoid body scanning concerns. Brands need to reduce returns for sustainability and margin goals.
Per-recommendation: $0.05–$0.10 per widget interaction. Subscriptions: $99/mo (up to 10K recommendations), $249/mo (up to 50K + custom models), $499/mo (up to 200K + API), $999/mo (unlimited + branded widget). Performance pricing: $0.25/prevented return.
Enterprise size recommendation. $2,000+/mo, requires integration with their data genome, slow setup
Acquired by Snap. Enterprise pricing, limited to large brands, uncertain product future
Free but unhelpful, one-size-fits-all approach, don't account for brand differences or body types
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