AI-Powered Virtual Try-Ons

PinkBytes: AI Helps You Try On Outfits with Google’s Doppl 👗✨What is it? Google’s new Doppl app is like having an AI-powered fitting room in your pocket. You upload a photo of yourself (or use an avatar) and add an outfit you love from Instagram, Pinterest, or a screenshot. Doppl then creates a short animated video showing how the clothes would move and flow on you. It’s not about precise sizing — it’s about sparking creativity, inspiration, and fun sharing with friends. 🔒 Privacy - Photos and videos are stored for about 3 months, then deleted. - Every output carries an invisible SynthID watermark to discourage misuse. - Sensitive outfits (religious, celebrity, overly revealing) are blocked by filters. - Data is encrypted in transit and you can delete uploads anytime. 💡 So What? For retailers and online shopping sites: - Fewer returns, since shoppers can “see” outfits before buying. - Smarter personalization!!! Imagine AI suggesting outfits for your calendar events. For consumers: - More confidence in online purchases. - Shopping becomes social, with shareable looks for friends to weigh in. -Sustainability win: fewer returns means less waste and packaging. But: always be mindful of how your images are stored and processed. ✨ Bottom line: Doppl shows where online shopping is headed — immersive, playful, and personalized. Good for retailers, fun for consumers, and potentially better for the planet.

What if your customers could try before they buy, without leaving their couch? For online shoppers, hesitation is the silent villain. Will it fit? Will it suit me? These doubts lead to abandoned carts, lower sales, and a mountain of returns. But what if we could turn uncertainty into excitement? 💡 Enter Virtual Try-Ons: Where AI Meets Imagination. Here’s how this transformative technology works and why it’s revolutionizing e-commerce: 🔮 The Problem Online shopping lacks the tactile reassurance of in-store experiences. Shoppers want to know how a dress drapes, how glasses frame their face, or how shoes complement their look, all before they buy. Without this, they hesitate or, worse, return purchases in droves. ✨ The Solution: AI-Driven Virtual Try-Ons 🔍 Real-Time Visualization: Using Augmented Reality (AR) and Computer Vision, customers can "try on" products in real time, whether it’s clothing, eyewear, makeup, or even footwear. 🎭 Engaging and Personal Experiences: A virtual fitting room tailored to the individual boosts confidence and builds stronger connections between customers and products. 🔗 Interactive Shopping Journey: From live camera feeds to uploaded images, customers can see exactly how products look and fit, eliminating guesswork. 🌟 What This Means for Businesses 📉 Reduced Return Rates: By aligning expectations with reality, businesses see fewer returns and greater customer satisfaction. 📈 Higher Conversion Rates: Shoppers buy confidently when they can see how products will suit them, leading to significant sales growth. 💬 Enhanced Customer Experience: Interactive, immersive try-ons make shopping fun, memorable, and worth coming back for. 🚀 The Real-World Magic Sephora: Customers explore makeup looks with their "Virtual Artist" tool, blending creativity with convenience. Ray-Ban: Shoppers find their perfect shades through a seamless virtual try-on feature. Nike: Users visualize how sneakers look on their feet before committing to a purchase. At Space-O Technologies, we don’t just build apps, we create experiences that drive engagement and results. From AI innovation to seamless user interfaces, we specialize in solutions that transform how your customers shop. Ready to redefine your e-commerce game with virtual try-ons? Let’s make it happen. #EcommerceInnovation #VirtualTryOn #AIandAR #SpaceOTechnologies

Google just announced a suite of AI-driven shopping tools designed to transform the online retail experience 💥 Here’s what’s coming: 🧠 AI Shopping Mode: A conversational search tool that understands natural language and context. Think: “best dress for a trip to Cannes in May” – and it will deliver results tailored to weather, location, and purpose. 👗 Virtual Try-On 2.0: Shoppers can now upload full-body photos to see how items actually look on them — including drape, fit, and texture across different body types. A game-changer for apparel conversion rates. 💸 Agentic Checkout + Price Alerts: Users can set price targets, and when an item hits the right price, Google will notify them — or even auto-checkout via Google Pay. What this means for eComm marketers: ▪️ SEO and product data quality will become even more critical ▪️ Conversion will increasingly depend on visual assets (UGC, try-ons, real models) ▪️ Brands need to prep for a world where shopping journeys are conversation-first Currently, these features are being rolled out in the U.S. via Google Search Labs, with plans for broader availability in the future.

𝐙𝐚𝐫𝐚’𝐬 𝐯𝐢𝐫𝐭𝐮𝐚𝐥 𝐭𝐫𝐲-𝐨𝐧: 𝐚 𝐪𝐮𝐢𝐞𝐭 𝐬𝐭𝐞𝐩 𝐟𝐨𝐫𝐰𝐚𝐫𝐝 ZARA has recently launched an AI-powered virtual try-on. This technology is not new and many brands are integrating it into their e-commerce. What I find especially interesting about Zara is how they are doing it: selectively in some markets (not yet in Spain btw), and without over-communicating it and the execution looks very accurate. Zara is testing, learning and iterating before scaling. This approach is consistent with how Inditex has historically adopted technology: pilots first, operational validation and scale once the value is proven. If we look back, Inditex has been experimenting with AR and VR for some years, especially in-store: ✳️ AR shop windows where garments appeared in motion, scanning them with your smartphone, in their store in Oxford Circus in London (if I remember correctly) ✳️ Smart fitting rooms with virtual try ons, but in a fun way as those in Bershka Barcelona, where technology was about engagement, experimentation and social sharing. ✳️ Digital collections with AR technologies, also with Bershka by FFFACE.ME, clearly designed for a younger audience, allowing users to interact with digital garments through AR layers and posting them in their socials, building brand relevance and viral moments. Zara’s website is, in my view, a real spectacle in consumer experience. It manages to be highly aspirational and extremely functional at the same time: 🔅 Editorial-level visuals and fashion films (as the last one, "The dinner", have you seen it? ) that reinforce brand desire. 🔅 High-resolution product imagery with an exceptional level of detail, allowing the customer to really “see” the garment. 🔅 Short videos embedded at product level, showing the piece in movement on the model, adding context, fit and attitude. 🔅An AI assistant (“How can I help you?”), only in some markets, still text-based but clearly designed to guide and support the purchase journey. And now we have the virtual try-on functionality: ✅ Realistic fit The solution is based on AI-generated avatars created from user-uploaded images (one selfie and one full body picture). By analysing the photos, the system builds a personalised digital representation of the user in 2 minutes, allowing garments to be overlaid and visualised in movement. This allows to see YOURSELF with a different combinations of looks, not on a 1,80 cm stunning model. And they can saved in the "My looks" section. ✅ Clear impact on returns and sustainability Early tests point to double-digit reductions in size-related returns. Fewer returns mean lower logistics costs and less reverse shipping. This could reduce the famous "bracketing"? It should. Looking ahead, why not integrate try-on technologies into platforms like Roblox? But let's leave this one for another post. #zara #virtualtryons #AR #consumerexperience

🚀 An exciting step toward agentic AI in retail. 🛍️ Google’s latest update to its Shopping experience is more than just a cool trick — it’s a glimpse into how AI is evolving from being a passive tool into an active shopping assistant. At I/O 2025, Google announced a suite of new capabilities: • Virtual try-on, using generative AI to realistically render clothes on you using a single photo — no need for 3D scans or complex onboarding. Google’s advanced image generation model accurately simulates how different fabrics drape, fold, and fit on various body types, providing a personalized and realistic preview of how garments would look on you. • AI Mode, powered by Gemini and Google’s Shopping Graph, enabling conversational product discovery — a shift from search to dialogue. • And most notably, agentic checkout — the ability for Google to monitor price drops and complete the purchase for you via Google Pay, all within your set parameters. This marks a shift toward delegated decision-making: where AI not only recommends, but acts on your behalf within defined constraints — one of the core principles of agentic AI. It’s still early days, but this is exactly the kind of applied use case that shows how AI is beginning to operate with more autonomy, context-awareness, and user-aligned intent. Definitely one to watch. 🔗 https://lnkd.in/dTuP2aGh #AI #Ecommerce #VirtualTryOn #GoogleShopping #RetailInnovation #GenerativeAI #UserExperience #TechNews #IOTech2025

Google just turned online shopping into a fitting room. 42% of online shoppers return items because the products look different on them than in the photos. Now, Google is trying to change that. Their new virtual try-on feature lets you see how clothes look on yourself - and on models that match your size, skin tone, or body type. All powered by generative AI that understands how fabric drapes, folds, and moves. → For shoppers - it means buying with confidence. → For retailers - it’s the closest thing yet to a real fitting room online. 𝗔𝗻𝗱 𝗵𝗲𝗿𝗲’𝘀 𝘄𝗵𝗲𝗿𝗲 𝗶𝘁 𝗴𝗲𝘁𝘀 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴 𝗳𝗼𝗿 𝘄𝗵𝗼𝗹𝗲𝘀𝗮𝗹𝗲. Today, if a supplier wants to shoot a catalog: • They hire models (≈ $500–$1,000 per day each) • Bring in a photographer (≈ $1,200 per day) • Rent a studio and spend a full day on production AI try-on can replace most of that. The same product can be enriched with realistic photos on different model types - instantly, without a single photoshoot. It’s a glimpse of what’s next - where visual content becomes dynamic, scalable, and data-driven. Source link in first comment. 👉 Follow me for more on how AI is reshaping retail and B2B commerce.

Google just dropped a new AI shopping experience that's going to bypass social. Here's what you need to know: At Google I/O 2025, the company just announced its virtual try-on technology that could change how people shop for clothes online. By uploading a photo of yourself, you can now see how different outfits look on your own body. The “try-on” tool is rolling out today in the US via Search Labs, allowing you to access 50 billion apparel listings. When you search for clothing on Google, look for the “Try it on” icon next to supported products. My first thought? This is like Cher's closet in Clueless! My second thought? If people can see how clothes look on them just by uploading a photo to Google, why would they need to scroll through brand socials or UGC? We all keep citing that stat: 45% of Gen Z prefers social search over Google. And that’s still true. Social plays a huge role in discovery. The customer journey has changed. And yet... a lot of people still use search engines. And if Google starts to personalize the experience — pulling directly from retailers — that could essentially sideline the role of social. ** It's important to note ** There is no social integration at this time. If someone wants to try on the latest Gap x DÔEN Collection, it's not pulling from Instagram or TikTok. It's pulling directly from retailer websites. My POV: This is a shopper-first feature and, if done right, could be a great experience. But brands need to pay attention. If this takes off, it prioritizes keeping Google Merchant Center up to date with new products, accurate prices and high fidelity images. And it could reduce the need for UGC. If shoppers can see how clothes look on them, they may not care how they look on random people. Would this change your shopping habits? Would you skip TikTok reviews and go straight to search? #Google #GoogleIO #AI

Just tried on Uniqlo outfits I don’t own, virtually, that’s really me in the photos. Google dropped a “Try It On” feature at I/O 2025 - No human scanner - No setup or 3D model upload - Just tap -> try on -> decide Do brands need to optimize for this if everyone starts trying out clothes this way? If Google owns the experience or how it looks, can this make or break products and season collections. Startups have been chasing this for years with body scans and 3D mapping Google made it feel effortless, this isn’t a demo. It’s working. And it might flip the entire fashion tech space. If you’re in fashion, retail, or AI. Are we looking at the future here? Or the end of a category? #GoogleIO2025 #FashionTech #RetailInnovation #Uniqlo #ThisUmang

On this week's M7Unlock, ZERO10 is revolutionizing the retail industry by integrating Generative AI with Virtual Try-On (VTO) technology, setting new standards for realism and scalability in online fashion interactions. Their innovative approach towards interactive retail and VTO has been implemented by top brands like Tommy Hilfiger, Nike, Coach, and UGG. Project: Zero10's Augmented Reality Mirrors Industry: Fashion and Retail Key Differentiator: In-Store Try On Mirrors 🪞Virtual Try-On, Powered by Generative AI: ZERO10's virtual try-on technology powered by Generative AI allows for creating virtual fittings from single garment images, improving the realism and scalability of online retail. This evolving technology uses advanced AI techniques to capture detailed textures and fits, broadening the potential for e-commerce applications and enhancing user engagement with a more authentic try-on experience. 🧑🔬 Post-Pandemic Innovation: Consumer expectations have shifted, demanding that brick-and-mortar retail stores integrate e-commerce conveniences like easy access to products and discounts. An ever-decreasing percentage of consumers are satisfied with their shopping experiences, stressing the need for retailers to adopt digital solutions like AR to enhance both in-store and online customer engagement. 📊 Great Opportunity, Big Barriers: The development of accurate Virtual Try-On (VTO) technology presents significant technical challenges and data privacy concerns. Zero10 and its partners are navigating stringent data protection laws while developing AR solutions that offer realistic and privacy-conscious virtual fitting experiences, balancing innovation with ethical data practices. 🧠 For Brands: Retailers need to merge digital and physical shopping aspects to meet modern consumer expectations, as demonstrated by ZERO10's successful implementation of AR technology in stores. With many consumers expecting more, integrating AR could enhance customer interaction and ensure compliance with data privacy regulations, offering a competitive edge in the retail industry.