Let stylists share live on-model previews during virtual consultations - no outfit changes needed. Using AI virtual try-on, AI image generation, and real-time on-model rendering, shoppers see how pieces drape and pair in seconds. This remote styling session experience boosts confidence, supports e-commerce AI marketing, and feels like a virtual photoshoot tailored to each customer. Perfect for fashion AI drops, clienteling, and marketplace PDP upgrades.
Traditional virtual consultations rely on static photos, size charts, and guesswork. Stylists can’t quickly show how a look fits on the customer, and asking clients to change clothes or hunt for mirror shots adds friction. The result: long calls, low confidence, higher returns, and abandoned carts - especially when launching fashion AI drops or running e-commerce campaigns that need rapid, personalized visuals.
Shuru’s AI Fashion Try-On & Model Generator powers a live preview workflow: the stylist selects items, and AI virtual try-on renders on-model looks instantly using AI image generation and on-model rendering. The shopper chooses a body archetype (or optional selfie with consent), then sees fit, drape, and coordinated accessories in real time - like a guided virtual photoshoot. Brand-safe guardrails keep logos, modesty, and color accurate; lightweight widgets and APIs plug into your video/chat tools and CMS for seamless clienteling.
AI Fashion Try-On & Model Generator
Convert flat-lay garment images into virtual try-ons
Higher conversion: real-time, live on-model previews lift add-to-cart and purchases.
Lower returns: better fit expectation reduces exchanges and reverse logistics.
Shorter consultation time: faster decisions cut AHT and increase stylist throughput.
Higher AOV: style complete looks, bundles, and accessories within the same session.
Scalable remote selling: deliver consistent, brand-safe visuals without outfit changes.
Campaign agility: support fashion AI drops and e-commerce marketing with instant, on-brand assets.
Partner with us to design, prototype, and deploy.
