Give Every Shopper a Virtual Fitting Room. Built Into Your eCommerce Store
Centric's AI virtual try-on software lets your customers upload a photo and instantly see how any clothing item looks on them before they add it to their cart. Powered by Google Gemini visual AI. Integrates with Shopify, WooCommerce, Magento, and custom platforms in minutes. No app download. No 3D modeling. No waiting.
AI-Powered.Retail-Focused. Conversion-Driven.
Centric VTON is powered by Google Gemini visual AI delivering photorealistic garment simulation with true fabric draping, lighting adaptation, and body-accurate rendering. Deployed as a plugin or API integration, it embeds seamlessly into your existing eCommerce storefront without rebuilding your tech stack. The result: customers who see themselves in your products buy more and return less.
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69% of Shoppers Abandon Carts Because They're Not Sure How It'll Look on Them
Fashion eCommerce has a visualization problem. Flat product images tell shoppers what a garment looks like on a model not on them. The result is hesitation, abandoned carts, and a return rate that averages 30–40% across the apparel industry. Every return costs your business $20–$65 in logistics, restocking, and lost margin. And every abandoned cart is a customer you paid to acquire but failed to convert. Virtual try-on removes the uncertainty letting shoppers see exactly how a product will look on their body, in real time, before checkout.
An AI Virtual Try-On Commerce Engine Not Just a Photo Filter
Centric VTON is not a basic overlay tool that places a static garment cutout on a photo. It's a full-stack visual commerce engine powered by Google Gemini AI capable of simulating how fabric drapes, how a garment conforms to different body types, and how lighting interacts with material texture in a photorealistic output. Retailers use it to eliminate the visualization gap between browsing and buying and the result shows up directly in conversion rates, average order value, and return rates. Embed it on any product page via plugin or API, with no rebuild of your existing store required.
Virtual Try-On Capabilities That Go Beyond Basic AR Overlays
Most virtual try-on tools place a flat garment cutout over a photo and call it a fitting. Centric VTON uses Google Gemini's visual reasoning to simulate how the actual garment behaves fabric weight, drape, shadow, and body contour adaptation creating a result that looks like a real photo, not a Photoshop composite. Here's what that means in practice for your catalog.
Powered by Google Gemini Visual AI The Engine Behind Photorealistic Try-On
Not all AI try-on tools are equal. Centric VTON is built on Google Gemini's multimodal visual understanding a model specifically architected for complex image reasoning, not generic image generation. Gemini maps garment geometry to body structure, simulates how different fabric types (knit, woven, denim, silk) interact with light sources, and adapts color saturation based on skin tone producing outputs that look like they were captured in a studio, not generated by an algorithm. This is the technology foundation that makes Centric VTON competitive with enterprise try-on solutions costing 10× more.
Works Across Every Major eCommerce Platform Out of the Box
You don't need to rebuild your store or switch platforms to deploy Centric VTON. The solution integrates natively with every major eCommerce ecosystem through platform-native plugins and REST API connectors typically live in under 5 minutes for Shopify and WooCommerce stores, and configurable within a day for custom or headless commerce architectures.
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The Commercial Case for Virtual Try-On
Virtual try-on isn't a novelty feature. For apparel and accessory retailers, it directly addresses the three core drivers of poor eCommerce performance, hesitation at the moment of purchase decision, post-purchase uncertainty that triggers returns, and the inability to recreate the in-store fit experience digitally.
AI Virtual Try-On
Instant Results
Perfect Size Match
The Revenue Impact Is Immediate
Retailers who deploy AI virtual try-on see measurable performance changes within the first 30 days not after months of optimization. These are the four metrics that move consistently and significantly across Centric VTON deployments.
Conversion Lift
More shoppers complete checkout
Return Reduction
Fewer size/fit-related returns.
Customer Satisfaction
Higher confidence at purchase.
Average Order Value
More items per cart.
From Try-On to Checkout
Rapid WorkplaceRollout
Deploying virtual try-on doesn't require a development sprint. For Shopify and WooCommerce, Centric VTON is live via plugin install in under 5 minutes. For Magento, BigCommerce, and custom architectures, Centric's implementation team configures the API integration and embeds the try-on widget into your product detail page typically within one business day. You test the output quality on a pilot product set, approve it with your merchandising team, and activate across your full catalog.
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Virtual Try-On FAQs
What is Centric's AI Virtual Try-On, and how is it different from basic AR overlays?
Centric VTON is a Google Gemini–powered virtual fitting room that generates photorealistic results not a basic augmented reality overlay that pastes a garment silhouette onto a photo. The difference is in the AI architecture: Gemini's visual reasoning model understands fabric behavior, body geometry, and lighting in a way that produces a result that looks like a real photo. Basic AR try-on tools create outputs that consumers recognize as artificial, which undermines purchasing confidence. Centric VTON's output is designed to be indistinguishable from a studio photograph, which is what drives the conversion and return metrics our retail customers see.
Which eCommerce platforms does Centric Virtual Try-On integrate with?
Centric VTON integrates natively with Shopify, Shopify Plus, WooCommerce, Magento (Adobe Commerce), and BigCommerce via dedicated platform plugins. For custom-built storefronts and headless commerce architectures (Next.js, Nuxt.js, React-based), we provide a REST API and webhook-based integration that your development team can implement in a day. We also support SAP Commerce and Salesforce Commerce Cloud for enterprise retail deployments contact our integration team for specific platform requirements. Shopify and WooCommerce deployments go live within minutes using the one-click plugin.
What types of products work with virtual try-on?
Centric VTON is optimized for apparel (tops, bottoms, dresses, outerwear, activewear), accessories (scarves, bags, hats), footwear (shoes, boots, sandals), and eyewear. It also works for jewelry and cosmetics with specific model configurations. Products that are difficult to map accurately include highly structured tailored garments (bespoke suits) and items where fit depends entirely on interior structure rather than surface appearance. For product categories outside standard apparel, contact our team to assess visual rendering accuracy for your specific catalog.
What happens to the photos that customers upload?
Customer photos are processed in real time for the try-on generation and are not stored permanently by default. Images are transmitted via encrypted channel (TLS 1.3), used exclusively for the on-session rendering, and discarded after the result is generated — they are not retained for AI model training, profiling, or any third-party sharing. For US retailers, this data handling approach is designed to be compatible with CCPA (California Consumer Privacy Act) requirements. We can provide detailed data flow documentation and a Data Processing Agreement (DPA) for enterprise deployments with specific privacy compliance requirements.
How does virtual try-on actually reduce return rates and by how much?
The primary driver of apparel returns is size and fit uncertainty shoppers order the size they think will fit, receive it, and discover it doesn't. Virtual try-on attacks this at the source by surfacing accurate size recommendations based on the shopper's body proportions before they commit to a size, and by letting them visually verify how the garment fits their specific body shape. Across Centric VTON deployments, retailers see return rate reductions of 25–40%, with the highest impact in categories where fit variation is largest (dresses, tailored tops, activewear). Return rate reduction directly improves your margin a 35% reduction in returns on $5M of annual apparel revenue recovers approximately $350K–$500K in logistics and restocking costs.
What is the implementation timeline and what does the process look like?
For Shopify and WooCommerce, the plugin is live in under 5 minutes from install. For Magento, BigCommerce, and custom platforms, Centric's implementation team handles API configuration and widget embedding — typically within 1 business day. A pilot catalog (20–50 SKUs) runs for 48–72 hours for quality review before full catalog activation. From first conversation to full store activation, most Centric VTON deployments complete in 3–5 business days. There is no development team requirement on your side for standard platform integrations — Centric manages the full technical setup.
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Why Retailers Choose Centric for AI Virtual Try-On
Dozens of virtual try-on vendors exist. What separates Centric is the combination of Google Gemini's photorealistic AI a significantly more capable visual foundation than most try-on tools use with a deployment model that puts your store live in hours rather than months. We don't require a costly implementation project, a dev team sprint, or a long-term platform contract to prove the ROI. You try it, measure the conversion and return impact, and scale from there.
Our
Clients
These aren't just brands; they're collaborative tales of innovation, challenge, and triumph. Each symbolizes a unique story, a challenge met, and a vision realized.
Turn Your eCommerce Store Into a Virtual Fitting Room
Stop losing customers to size uncertainty and fit hesitation. Centric VTON adds a Google Gemini–powered virtual try-on experience directly to your product pages in minutes, not months. Your shoppers try before they buy. Your return rate drops. Your conversion rate rises. Try the live tool for free, or book a demo to see the full enterprise experience with your own catalog.
Upload a Photo and See the Magic
Upload your photo and a clothing item then watch Google Gemini AI generate a photorealistic virtual try-on result in seconds. This is the same experience your shoppers will get directly inside your Shopify or WooCommerce store. Enterprise deployments include brand-matched UI, full catalog integration, and analytics dashboards beyond what's available in this free preview.
Create Your Perfect Look
Upload your photo and clothing item to see how it looks on you with our
advanced AI technology
Studio Output
magic happen
Turn Online Shopping into a Real Experience
The gap between browsing and buying in fashion eCommerce has always been the inability to try. Centric VTON closes that gap turning every product page into an interactive fitting room that moves customers from uncertainty to confidence in under 60 seconds. The stores that deploy this first in their category build a competitive advantage that's difficult to replicate: shoppers return to the retailer where trying on is possible, not to the one with slightly lower prices.
A scalable framework to deliver immersive digital product experiences.
Centric's implementation framework ensures your virtual try-on solution delivers accuracy, realism, and measurable conversion impact from day one with a structured rollout that moves from discovery to full catalog deployment in under two weeks.
Discovery & Use Case Definition
Define the product categories, customer journey touchpoints, and business goals for your virtual try-on deployment whether for fashion, eyewear, cosmetics, or accessories. Determine whether customer photo upload, curated model library, or both will serve your shopper base. Set the KPIs: conversion rate, return rate, average order value, and time-to-purchase. Typical timeline: 1–2 days.
Platform Setup & Integration
Deploy the Centric VTON plugin or API integration on your eCommerce platform. Connect to your product catalog for garment asset ingestion. Configure the try-on widget UI to match your brand design system. Set data retention and privacy policy parameters in alignment with CCPA requirements for your shopper base. Typical timeline: 1–3 days depending on platform.
AI Modeling & Customization
Configure Google Gemini AI parameters for accurate product rendering across your specific catalog fabric types, garment categories, color fidelity. Run a pilot set of 20–50 SKUs through the system. Your merchandising team reviews output quality per product and requests any rendering adjustments before full catalog activation. Typical timeline: 2–4 days including review cycle.
Launch & Optimization
Roll out across your full product catalog on web and mobile. Monitor conversion lift, return rate change, and AOV impact via the Centric analytics dashboard. Centric's team provides ongoing optimization new garment category configurations, A/B testing of widget placement, and performance reviews as your catalog evolves. Typical timeline: Full activation from Day 10. Ongoing optimization indefinitely.
