Virtual Try-On AI: The Future of Online Shopping and Fashion

Virtual Try-On AI is changing how people shop online.

It helps customers see how clothes, accessories, or makeup will look on them—without visiting a store. All they need is a photo or camera. Behind the scenes, advanced AI and AR (Augmented Reality) make it feel real.

It solves a simple but serious problem in online shopping: no try-before-you-buy. That’s why returns go up and sales go down.

In this blog, we will Cover:

• What Virtual Try-On?
• The different types (AI-based vs AR-based)
• How it benefits both customers and brands
• How to add it to your online store or chatbot using YourGPT

Let’s start by understanding the basics.

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What Is Virtual Try-On AI?

Virtual Try-On AI (VTO) uses artificial intelligence (AI), often combined with augmented reality (AR), to show how a product—like a dress, glasses, or makeup—would look on a person.

Instead of imagining how something might fit or look, users can:

• Upload their photo
  
• Use their phone camera

The AI then creates a realistic preview, aligning the product with the user’s body, skin tone, facial shape, or measurements. It considers movement, lighting, and scale to make the try-on look natural.

Types of Virtual Try-On Technology

There are two main approaches to Virtual Try-On experiences: AI-based and AR-based. Both serve the same goal—help customers visualise how a product will look on them—but they work differently behind the scenes.

1. AI-Based Virtual Try-On

This method uses artificial intelligence, especially generative models like GANs (Generative Adversarial Networks), to create a realistic image of a person wearing the product.

Here’s how it works:

• The user uploads a static photo of themselves.
  
• They choose a product (like a dress, shirt, or lipstick).
  
• The AI model processes the image and generates a new, photorealistic version showing the product worn by the person.

Use cases: Fashion, jewellery, cosmetics, eCommerce chatbots.

2. AR-Based Virtual Try-On

AR stands for Augmented Reality. This method uses the device’s live camera feed to overlay digital items in real time—like Snapchat or Instagram filters, but far more advanced and accurate.

Here’s how it works:

• The user opens their camera (mobile or desktop).
  
• The AR system detects facial or body landmarks (like eyes, nose, shoulders).
  
• A digital model of the product (glasses, earrings, makeup) is placed on the user’s face or body in real time, following their movements.

Use cases: Eyewear, makeup, footwear, accessories, mobile-first eCommerce.

Which One Should You Use?

• AI-based try-on is better when:
  • You want high-quality image previews
  • You’re building on a website or chatbot
  • Users are comfortable uploading photos
    
• AR-based try-on is better when:
  • Real-time experience is important
  • You want to engage users on mobile apps
  • You’re showcasing smaller items like makeup or jewellery

Many brands now use both methods—AI for static previews, AR for real-time try-ons—to create a complete and flexible customer experience.

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Why Is Virtual Try-On AI Important for eCommerce?

Online shopping has grown fast, but one problem hasn’t gone away: uncertainty.

• Will this look good on me?
  
• Will it fit properly?
  
• Should I risk buying it without trying?

Virtual try-on directly addresses these concerns.

✅ Increases Conversions

Customers are more likely to complete a purchase when they feel confident about how the product looks on them.

✅ Reduces Return Rates

Fit and appearance-related returns are reduced when users can preview how an item fits their body type or face.

✅ Builds Trust and Brand Loyalty

When shoppers feel understood, they’re more likely to return and recommend your store.

✅ Saves Time

Shoppers find what fits faster. No need to browse endlessly or rely only on size charts.

✅ Works Across Devices

It work on both desktops, whatsapp, telegram, phones without even needing to download any app.

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How to Make Your Own Virtual Try-On AI

Creating your own Virtual Try-On AI doesn’t require a full engineering team or a big budget. Using YourGPT, you can build and deploy AI try-on experience in minutes—no code, no complex setup.

Step 1: Download the System Template

Start by downloading the Virtual Try-On system template.

This file contains all the pre-built AI try-on logic, image upload flows, and try-on experience generation.

Note: To download the template contact our website support team.

Step 2: Open AI Studio

Go to your chatbot Dashboard. if you don’t have an account yet, you can create one for free to get started.

From the left sidebar, go to AI Studio—the visual builder where you manage your AI agent flows.

This is where you’ll import and configure the try-on assistant.

Step 3: Import the Template

Click the Import button in AI Studio and upload the downloaded system template file. After importing it will ask you for your credentials, you need to add your Key.

Once uploaded, you’ll see a ready-to-go try-on assistant that:

• Accepts image uploads from users
  
• Lets users select a product to try on
  
• Sends data to your connected API
  
• Displays the try-on output to the user

Customise the Try-on Experience as you want it work.

Step 4: Test the Complete Flow

Before publishing, test the assistant end-to-end:

• Upload your image
  
• Choose a product
  
• Check the formatting, speed, and quality of responses

Make sure the try-on image loads correctly and that all fallback messages are in place in case something fails.

Step 5: Deploy Your Try-On AI

Once everything is working smoothly:

• Click Deploy inside AI Studio
  
• Choose where you want to publish your bot: your website, Shopify store, WhatsApp, Messenger, or any other supported platform

Your try-on assistant is now live and can help customers visualise products before they buy—directly from chat.

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Advanced Options: Take It Further

Once your basic Virtual Try-On AI is live, you can go beyond the default setup and build a more engaging, personalised, and conversion-friendly experience.

Here are powerful enhancements you can implement to make your try-on assistant even more effective:

1. Store and Reuse the User’s Photo

Ask for the photo once, store it (with consent), and reuse it for future sessions. This means users don’t have to upload the same image each time—making the experience feel smoother and more personalised.

2. Add Try-On to Product Carousels in Chat

Use in-chat product carousels to display outfits or items, with a “Try-On” button built into each card. This allows users to browse and try on products directly within the chat, without navigating away.

3. Add One-Click Try-On on Product Pages

Add a “Try-On” button next to every product listing on your website.

4. Try on Based on User Activity

When signed-in then only enable the try-on options for the users.

5. Show Smart Product Recommendations After Try-On

Once the try-on result is displayed, show:

• Matching accessories, or shoes
  
• Similar styles in different colours
  
• Bestsellers in the same category

You can use AI-powered recommendation logic or integrate with your existing product engine.

This helps move users from try-on to add-to-cart, increasing order value without being pushy.

6. Send Try-On Results via Email or SMS

Offer users the option to receive their try-on result via email or text. This lets them:

• Revisit the image later
  
• Share with friends or family
  
• Continue shopping from a saved link

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Conclusion

Virtual Try-On solves a very real problem in online shopping: customers can’t try products before they buy. This leads to uncertainty, hesitation, and more returns than necessary.

By letting people see how clothes, makeup, or accessories would actually look on them, it makes shopping easier and decisions more confident. It’s simple—when shoppers feel sure, they’re more likely to buy, and less likely to return what they ordered.

The technology behind it doesn’t need to be complex for the user. With the right setup, it feels fast, personal, and reliable. That’s what builds trust. And in today’s crowded eCommerce space, trust is what turns visits into sales, and first-time buyers into repeat customers.