Virtual Try-On

AI-powered Virtual Try-On for the future of retail

Turn Product Discovery Into an Interactive Shopping Experience

Discover Virtual Try-OnDiscover Virtual Try-On

Discover Virtual Try-On

Oredata Virtual Try-On transforms the way customers discover and experience fashion products. Built on Google Cloud and Gemini image generation, VTON allows shoppers to visualize selected products on themselves through an intuitive, AI-powered experience — bringing greater confidence and engagement to the shopping journey. Designed for both digital and physical retail environments, VTON can be integrated into e-commerce websites, in-store experiences, and AI-powered product content workflows. The solution combines high-quality generative AI with a cloud-native architecture optimized for speed, scalability, and cost efficiency.

Virtual Try-On stand with garment display and personalized try-on kiosk
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Key capabilities

AI-powered Virtual Try-On
AI-powered Virtual Try-On

Let shoppers see selected fashion products on themselves through AI-generated visuals. VTON turns traditional product browsing into a more personal and immersive experience, helping customers better understand how products could look as part of their own style.
Seamless shopper journey
Seamless shopper journey

Create an intuitive journey from photo to final look across digital and physical touchpoints. Customers can upload or take a photo, browse available products, build their look, and generate a personalized try-on result directly through an e-commerce experience or an in-store kiosk. VTON simplifies the journey into three intuitive steps: Pose → Pick → Try On.
Catalogue-aware product selection
Catalogue-aware product selection

Keep AI generation focused on what the shopper actually wants to explore. VTON sends only selected catalogue products into the generation workflow, creating a more targeted and efficient experience while connecting AI directly with the retailer's product journey.
Beyond try-on: AI-powered product imagery
Beyond try-on: AI-powered product imagery

Extend VTON beyond the customer-facing try-on experience. Retailers can use generative AI to visualize apparel on models and create product imagery for e-commerce catalogues, campaigns, and digital content. This opens up new possibilities for producing and adapting product visuals without relying on a traditional photoshoot for every variation.
Cloud-native scalability & cost control
Cloud-native scalability & cost control

Built on a stateless Google Cloud Run architecture, VTON can scale with customer traffic without relying on always-on infrastructure. This cloud-native approach helps retailers balance responsive experiences with infrastructure efficiency and cost control.

Reimagining the retail experience

Move beyond static product images and traditional browsing. Virtual Try-On gives customers an interactive way to engage with products and imagine them as part of their own look — creating a richer connection between shopper and product.

Transform product discovery from passive browsing into active interaction. By allowing shoppers to experiment with different items and looks, VTON creates more opportunities for customers to engage with the catalogue and spend meaningful time with products.

Bring the same AI-powered experience to different points of the customer journey. VTON can become part of an e-commerce website or an interactive in-store experience, enabling retailers to deliver a more consistent and connected shopping journey across channels.

Bring generative AI directly into the customer journey with an experience customers can see and interact with. VTON gives retailers a tangible way to introduce AI into physical and digital touchpoints while creating a more distinctive brand experience. The solution is designed to support stronger customer engagement, brand differentiation, and purchase confidence.

From product to personalized look

Pose. Pick. Try on.

VTON turns virtual try-on into a simple three-step customer experience: This three-stage journey is the core interaction demonstrated in Oredata's VTON kiosk.

  1. Pose

    Pose

    The shopper takes or uploads a photo through the VTON experience. A smart photo check validates the image before generation begins.

  2. Pick

    Pick

    The shopper browses the available catalogue, selects products, and builds a preferred look.

  3. Try on

    Try on

    AI generates a personalized visual showing the selected products on the shopper, turning product selection into an immediate visual experience.

Frequently asked questions

Virtual Try-On (VTON) is an AI-powered retail experience that enables shoppers to visualize selected fashion products on themselves through generated imagery. Oredata's VTON experience is built on Google Cloud and Gemini image generation, combining generative AI with an intuitive shopper-facing interface.

The experience follows a simple Pose, Pick, Try On journey. The shopper takes a photo, selects products from the available catalogue, and receives an AI-generated visualization of the selected look. Behind the experience, VTON validates the shopper image, processes selected catalogue products, generates the result, and performs automated quality checks.

VTON gives shoppers a more interactive way to discover products and visualize potential looks before making a purchase decision. This helps address one of the key limitations of digital shopping: customers cannot physically try products and may be uncertain about how an item will look on them.

VTON can be integrated across both digital and physical retail touchpoints. Retailers can embed the experience into e-commerce websites, offer it through in-store kiosks, or adapt its generative AI capabilities for product imagery and content production. This flexibility allows brands to bring AI-powered visualization into both customer-facing experiences and internal content workflows.

The architecture is designed around quality, speed, and cost control. Shopper photos are validated before generation, only selected catalogue products are sent into the workflow, generated results undergo automated quality checks, and retries occur only when required.

Yes. The same generative AI capabilities can be used to visualize apparel on models and create alternative product imagery for e-commerce catalogues, campaigns, and digital content. This can help brands expand their visual content options and produce new variations without requiring a separate traditional photoshoot for every visual.