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Curated Engineering Insights

The Future of Personalized Shopping: Virtual Clothes Try-On using AI

Nov 22, 2023 3:00:00 PM

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The era of guessing your size and hoping for the best when ordering clothes online is becoming a thing of the past. In today’s digital world, shoppers are looking for a more tailored experience, one that mirrors the personal touch of in-store shopping but the convenience of doing it from their own home. This is where the idea of trying on clothes virtually, with the help of smart technology, comes into play.

Imagine being able to see how a dress fits or how a shirt looks on you without ever having to step into a changing room. That's the promise of virtual try-on (VTO) technology, a smart and user-friendly system that's changing the game for online shoppers and retailers alike. This isn't just about adding a new feature to your shopping experience; it's about creating a new standard that makes shopping online as reliable and satisfying as visiting your favorite store.

In this blog, we'll take a closer look at this new approach to shopping. We'll explore how VTO works, why it stands to benefit both customers and businesses, and what it means for the future of buying clothes online.

What is Virtual Try-On Technology?

 

Virtual try-on technology is a tool  designed to provide users with a virtual preview of products, such as clothing or accessories, prior to making a purchase. This technology, often utilizing augmented reality or computer vision techniques, enables users to see how selected items will look on them in a virtual environment.

For instance, when trying on clothing, users can use their smartphone camera or webcam to capture their image, and the technology overlays the chosen items onto their digital representation in real-time. This interactive experience allows users to gauge the fit, style, and overall appearance of the products before committing to a purchase.

According to Statista, online sales made a significant leap to $4.28 trillion in 2020, and there's an anticipation of continued growth, with estimates indicating a climb to $5.4 trillion.

About 55% of individuals who shop for clothes online have returned an item because it didn't look as expected when they tried it on. To safeguard your ecommerce business from similar challenges, consider implementing a virtual try-on tool within your application.

The primary aim of virtual try-on technology is to enhance the online shopping experience by addressing the inherent uncertainty associated with buying items without physically trying them on. By providing a realistic and personalized preview, this technology helps users make more informed decisions and minimizes the potential for product returns, contributing to a more seamless and satisfying online shopping journey.

zara-augmented-reality-app-omnichannel-fashion-retail

Image source: Google

For instance, Zara, a global fashion retailer, has been a frontrunner in incorporating AR into its operations. The brand has implemented AR technology both in-store and through a dedicated virtual fitting room app. Customers can use the app to virtually try on various Zara clothing items, experiencing a personalized and interactive shopping journey. 

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How does VTO Work?

 

Virtual try-on technology operates at the intersection of artificial intelligence (AI), computer vision, and augmented reality.  Here's a more detailed breakdown of the key steps involved in how virtual try-on works:

Virtual fitting room

Image source: ShopExp

Clothing Item Selection and Database Integration

Users begin by selecting a specific clothing item from the virtual catalog. Behind the scenes, the system accesses a vast database of high-resolution images and 3D models for various clothing items, ensuring a diverse and accurate representation of styles.

Semantic Segmentation

The chosen clothing item undergoes semantic segmentation, a process where the system identifies and isolates different parts of the garment. This segmentation is crucial for accurately mapping the item onto the user's body in later stages.

User Body Scanning

Computer vision algorithms initiate a virtual body scan, capturing detailed information about the user's body shape, size, and key anatomical features. This creates a personalized digital avatar or mannequin that serves as the canvas for the virtual try-on.

Cloth-Body Interaction Modeling

The system models the interaction between the clothing item and the user's virtual body. Physics-based simulations are employed to replicate how the fabric drapes, stretches, and reacts to movements. This dynamic modeling adds a layer of realism, allowing users to see how the garment would behave in real life.

Realistic Rendering and Lighting Simulation

High-fidelity rendering techniques come into play, simulating realistic lighting conditions. This involves considering factors like ambient lighting, shadows, and highlights on the virtual garment, ensuring a lifelike representation. Advanced rendering technologies, such as ray tracing, contribute to a more visually appealing experience.

Augmented Reality Overlay (Optional)

In scenarios where augmented reality is integrated, the virtual try-on extends beyond mere visualization. AR overlays the virtual clothing onto the user's live video feed, aligning the digital garment seamlessly with the real-world environment. This alignment requires precise calibration to ensure accurate placement and movement tracking.

User Interaction and Customization

Users are given interactive controls to customize their virtual try-on experience. This includes the ability to adjust the fit, explore different color options, and experiment with various styles. These interactive features empower users to tailor the virtual try-on to their preferences.

Machine Learning for Personalization

The system leverages machine learning algorithms to understand user preferences over time. By analyzing past interactions, purchase history, and expressed preferences, the virtual try-on experience becomes more personalized. This enables the system to offer tailored recommendations and refine its predictions.

Integration with E-commerce Platforms and Analytics

Virtual try-on technology seamlessly integrates with e-commerce platforms, allowing users to transition from exploration to purchase seamlessly. Analytics tools track user engagement, providing valuable insights into popular styles, user behaviors, and areas for improvement in the virtual try-on experience.

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Why integrate Virtual Try-On into your brand's online strategy?

 

Integrating virtual try-on into an e-commerce strategy offers brands a multitude of benefits, aligning with the evolving expectations and preferences of online shoppers. Here's a look at why brands should consider adding VTO to their e-commerce arsenal:

Enhanced Customer Engagement

VTO provides an interactive and engaging experience for customers. Allowing them to virtually try on products fosters a deeper connection with the brand, transforming the shopping process from a transaction to an immersive and enjoyable activity.

Reduced Purchase Uncertainty

One of the primary hurdles in online shopping is the uncertainty around how a product will look and fit. VTO addresses this concern by offering a realistic preview of products on the customer's own body, reducing hesitations and increasing the likelihood of a confident purchase.

Mitigation of Returns and Exchanges

By enabling customers to virtually try on products before making a purchase, brands can significantly reduce the rate of returns and exchanges. This not only streamlines the logistics for the brand but also contributes to a more sustainable and cost-effective supply chain.

Improved Customer Satisfaction

VTO contributes to overall customer satisfaction by aligning with their desire for a more personalized and convenient shopping experience. Satisfied customers are more likely to become repeat customers and advocates for the brand.

Data-Driven Insights

The integration of VTO allows brands to gather valuable data on customer preferences, popular styles, and user interactions. Analyzing this data provides insights that can inform marketing strategies, inventory management, and future product development.

Increased Conversion Rates

The ability to virtually try on products instills a sense of confidence in shoppers, leading to higher conversion rates. When customers feel more assured about their purchase decisions, they are more likely to proceed to checkout, positively impacting the brand's bottom line.

Social Media Sharing and Virality

Virtual try-on experiences are highly shareable on social media platforms. Customers enjoying the interactive feature may be inclined to share their virtual try-on sessions, creating organic marketing opportunities and potentially reaching a wider audience.

Positive Brand Perception

Incorporating VTO into the e-commerce strategy positions a brand as innovative and customer-centric. This positive perception contributes to brand loyalty and can attract a demographic that values cutting-edge technology in their shopping experiences.

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What does the Shopping Experience Hold for Customers?

 

Looking ahead, the future of virtual try-on promises to bring various benefits and conveniences for shoppers, making the online shopping experience more engaging and personalized. Here's a detailed look at what shoppers can expect:

Expanded Product Choices

It's not just about trying on clothes anymore. In the future, virtual try-on experiences are likely to extend to a broader range of products, including accessories, footwear, and beauty items. This means a more comprehensive and immersive exploration of potential purchases.

Realistic and Detailed Previews

As technology advances, virtual try-on will offer increasingly realistic depictions of products. Expect to see finer details such as fabric textures and nuanced color variations, giving you a more accurate preview of how the items will look and feel.

Social Shopping Fun

Shopping could become a more social experience. Imagine being able to share your virtual try-on sessions with friends, getting their opinions in real-time. Collaborative decision-making could add an element of fun and engagement to the online shopping process.

Improved Size and Fit Confidence

Addressing the age-old challenge of online sizing, future virtual try-on technology aims to provide a solution. Shoppers can anticipate feeling more confident in their size and fit choices as they virtually try on clothes and see how they suit their unique body shapes.

In-Home Trials with AR

Augmented Reality (AR) might take the virtual try-on experience beyond the screen. Picture being able to virtually place selected items in your living space to see how they fit with your existing belongings—a kind of "try before you buy" approach, right in your home.

Virtual Styling Assistance

Get ready for AI-powered virtual stylists. These could offer personalized fashion advice and suggest complete outfits based on your preferences. It's not just about individual items; it's about how they work together to create a cohesive and stylish look.

 

Empowering Brands through Virtual Try-On Technology

 

Virtual clothes try-on powered by AI is set to redefine our digital retail experience. Imagine a virtual changing room right at your fingertips—this is the exciting prospect that AI-driven try-on brings.

Looking forward, it's all about personalization. AI will understand our unique style and sizing preferences, creating a virtual space where we can explore various products in a way that feels true to life.

Beyond just convenience, this technology is about making shopping more enjoyable and reducing uncertainties. It's a shift toward sustainable practices and building stronger connections between brands and shoppers.

If you're seeking a technology partner to seamlessly integrate this cutting-edge technology into your application, look no further than Daffodil. Schedule a free consultation with our experts today.

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Topics: Artificial Intelligence

Nikita Sachdeva

Written by Nikita Sachdeva

Nikita is a B2B research analyst who conducts market research around the most cutting-edge technological solutions such as Salesforce, Cloud, Data Enrichment, AI, etc. She is a techno-optimist who brings unique perspectives gained from her experience to the organization and aims to disseminate knowledge to others. When she's not writing, she can usually be found watching sci-fi anime or reading webtoons.

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