Latest news with #virtualtryon
Entrepreneur
3 days ago
- Business
- Entrepreneur
KiranaPro Acquires Likeo to Revolutionise Fashion Commerce with Virtual Try-Ons
With this acquisition, BLACK aims to offer AI-powered virtual try-ons across fashion categories, enabling real-time, personalised digital product trials and transforming the online shopping experience for Gen Z users. You're reading Entrepreneur India, an international franchise of Entrepreneur Media. KiranaPro, a leading ONDC-integrated, AI-powered quick commerce platform, has announced the acquisition of Likeo, a cutting-edge startup specialising in augmented reality (AR)–driven virtual try-on technology. This bold move marks a significant leap in the evolution of KiranaPro's fashion commerce initiative, BLACK — a curated shopping destination designed for Gen Z and tech-native consumers. With this acquisition, BLACK claims to have become the first app in India to offer AI-powered virtual try-ons across apparel, jewellery, and eyewear. Users will now be able to try on products digitally in real time, transforming product discovery into an immersive, highly personalised experience. "This acquisition is a bold step in our vision to reinvent online shopping in India," said Deepak Ravindran, Founder and CEO of KiranaPro. "BLACK is not just an app — it's a cultural movement, and Likeo's tech allows us to give users a mirrorless shopping experience that's deeply personal, fun, and frictionless. With Saurav joining us, we're doubling down on AI and visual intelligence to redefine how Gen Z discovers and shops online." As part of the acquisition, Saurav Kumar, Founder and CEO of Likeo, will join the KiranaPro leadership team to spearhead innovation in AI and visual computing — the foundational engines behind BLACK's next phase. "Joining KiranaPro to build for BLACK is the perfect match of vision and velocity," said Saurav. "We've always believed virtual try-on can remove hesitation and bring confidence to the online purchase journey. With BLACK, we finally have a canvas to scale this to millions — making shopping more playful, expressive, and real." The virtual try-on feature will begin rolling out to BLACK users in the coming weeks, with early access provided to fashion and accessory enthusiasts. This new capability aims to enhance shopping confidence, reduce return rates, and offer a uniquely interactive experience. By acquiring Likeo, KiranaPro is cementing its role as a technology-first retail pioneer — not just empowering kirana stores via ONDC, but also reshaping the future of expressive commerce for the digital generation.
Forbes
4 days ago
- Business
- Forbes
How AI Virtual Try-On Solutions Google & Doji Are Changing Retail
Google has introduced a new AI powered virtual try-on (VTO) feature within its AI Mode shopping experience. For now limited to participants in its experimental Search Labs initiative, the tool enables users to upload a full body photograph in order to visualize its apparel listings on their own likeness. While Google's generative AI tech has been enabling product visualisation on a range of different body types and skin colors for a couple of years already—sizes range from XXS to 4XL and a wide spectrum of skin tones are guided by the Monk Skin Tone Scale—this personalisation aspect is a first for the the tech powerhouse. Although it comes in the wake of releases from other AI powered start-ups, Google dubs its own proprietary version 'the first of its kind working at this scale' in that it allows shoppers 'to try on billions of items of clothing from our Shopping Graph.' According to the tech giant, 'it's powered by a new custom image generation model for fashion, which understands the human body and nuances of clothing — like how different materials fold, stretch and drape on different bodies.' Most hyped of Google's more boutique competitors is Doji which this month announced a $14 million raise led by Thrive Capital with continued participation from 776. Doji, which was founded in 2024 by Apple, Meta, Shopify and Google DeepMind alumni Dorian Dargan and Jim Winkens, leverages its own proprietary diffusion models (generative algorithms that add 'noise' to a dataset to learn how to remove it leaving behind high quality images.) It creates user avatars from six selfies snapped at different angles plus two full-body images on which it generates different suggested looks from brands including The Row, Sacai and Miu Miu while also allowing users to choose top and bottom pairings from listed items or uploaded urls. It directs users to partner sites for purchase—presumably working on an affiliate system. Doji has recently launched on the App Store following a few months in private beta, however it is still invitation only as it continues to be finessed by the development team. The downside is that avatar generation still stands at around 30 minutes but having tried it in its various incarnations, it offers arguably the most fidelity in terms of its photorealistic renderings when compared to competitors. Creation of further looks has speeded up considerably over the last few weeks. The previous wave of virtual try-on tech which included studios like Bods focused more on virtual fit technology with the objective of decreasing returns to save brands money and minimise environmental impact. Via computer vision and machine learning it generated body avatars from a combination of photographs and measurements. According to a story by Tech Crunch, Doji plans to address the issue of fit further down the line. Wanna's bag capacity widget Wanna Elsewhere, Wanna, a provider of virtual try-on solutions in AR—most notably for jewelry and accessories—and the fashion arm of Perfect Corp, industry leader in VTO for beauty, has just released its animated Bag Capacity Widget, a new innovation for online bag shopping within its product suite. It enables shoppers to assess storage capacity by virtually placing everyday items inside a bag, viewing capacity more accurately via a transparency mode that also reveals how many items would fit inside. As owners of larger iPhones will doubtless attest, the studio notes that size mismatches account for around 24% of returns in the bag category. Virtual try-on solutions are certainly a category to watch both as tools for engagement and those leading to more tangible return on investment.
CNET
21-05-2025
- CNET
My Jaw Dropped When Google Told Me How Its New AI Shopping Feature Handles Privacy
An AI fashion tool was not on my Google I/O bucket list. At Google's annual I/O developers conference, the company introduced a number of Gemini AI updates, many of which are coming to Search and, notably, to our online shopping experiences. The new AI shopping feature lets you virtually "try on" different articles of clothing by using a photo of your body and imagining what it may look like on you. Google built a custom image-generation model to power its new feature. It's a simple idea: Google's AI takes the input image of your body and the input image of the garment and combines them. The actual process behind it is surely more complicated. But in the live demo, it seemed to work flawlessly. The virtual try-on feature is available today in the US, with more visual shopping and AI-agentic updates coming soon. I was very intrigued when I saw the live demo. I shop online for nearly everything I need, and I have been fooled many times by misimagining how clothing I see on models would look on me. But I'm an AI reporter, and I spend a lot of time worrying about the privacy implications of image and video tools, so I was skeptical, too. Everything Announced at Google I/O 2025 Everything Announced at Google I/O 2025 Click to unmute Video Player is loading. Play Video Pause Skip Backward Skip Forward Next playlist item Unmute Current Time 0:00 / Duration 15:40 Loaded : 3.16% 00:01 Stream Type LIVE Seek to live, currently behind live LIVE Remaining Time - 15:40 Share Fullscreen This is a modal window. Beginning of dialog window. Escape will cancel and close the window. Text Color White Black Red Green Blue Yellow Magenta Cyan Opacity Opaque Semi-Transparent Text Background Color Black White Red Green Blue Yellow Magenta Cyan Opacity Opaque Semi-Transparent Transparent Caption Area Background Color Black White Red Green Blue Yellow Magenta Cyan Opacity Transparent Semi-Transparent Opaque Font Size 50% 75% 100% 125% 150% 175% 200% 300% 400% Text Edge Style None Raised Depressed Uniform Drop shadow Font Family Proportional Sans-Serif Monospace Sans-Serif Proportional Serif Monospace Serif Casual Script Small Caps Reset Done Close Modal Dialog End of dialog window. Close Modal Dialog This is a modal window. This modal can be closed by pressing the Escape key or activating the close button. Close Modal Dialog This is a modal window. This modal can be closed by pressing the Escape key or activating the close button. Everything Announced at Google I/O 2025 Read more: Everything Announced at Google I/O 2025 I contacted Google after the keynote to ask about the privacy policies around this new feature. A Google spokesperson said, "Your uploaded photo is never used beyond trying things on virtually, nor is your photo used for training purposes. It is not shared with other Google products, services or third parties, and you can delete or replace it at any time." I was jaw-droppingly, but pleasantly surprised by this. In the age of AI, tech companies are typically so data-hungry that a source of data like this seemed like a no-brainer for Google to use. Google spent a decent chunk of time during I/O showing off its new AI image and video tools, and human-generated photos like these would be useful for future model improvements. Tech and fashion companies have been trying to work on this problem for years -- my CNET colleague Katie Collins wrote about one dress-sizing app all the way back in 2012, and Amazon's integrated AI for its fashion sales in recent years, too. This fashion model, as Vidhya Srinivasan, Google's vice president and general manager of ads and commerce, called it during the keynote, has "a deep understanding of the human body." We'll have to test it out to see if it really works for all body types and sizes. AI image generators, especially early ones from Google, aren't always great when it comes to diversity. But I'm willing to give Google a chance since it states it won't use my pictures to automatically train its AI models. As much as I want to believe Google has given us a 2025 version of Cher's closet from Clueless, I'm still a little skeptical. There's no guarantee that the AI version of yourself Google generates will actually reflect how the clothing looks on you in real life. But maybe this is a potentially good use of AI, instead of filling the internet with slop.
CNET
20-05-2025
- CNET
This Is What Surprised Me Most About the Google I/O AI Shopping Feature
An AI fashion tool was not on my Google I/O bucket list. At Google's annual I/O developers conference, the company introduced a number of Gemini AI updates, many of which are coming to Search and, notably, to our online shopping experiences. The new AI shopping feature lets you virtually "try on" different articles of clothing by using a photo of your body and imagining what it may look like on you. Google built a custom image generation model to power its new feature. It's a simple idea: Google's AI takes your input image of your body and the input image of the garment, and the AI combines them. The actual process behind it is more complicated, surely. But in the live demo, it seemed to work flawlessly. The virtual try on feature is available today in the US, with more visual shopping and AI agentic updates coming soon. I was very intrigued when I saw the live demo. I shop online for nearly everything I need, and I have been fooled many times by mis-imagining how clothing I see on models would look on me. But I'm an AI reporter, and I spend a lot of time worrying about the privacy implications of image and video tools, so I was skeptical, too. Read more: Everything Announced at Google I/O 2025 I reached out to Google after the keynote to ask about the privacy policies around this new feature. A Google spokesperson said: "Your uploaded photo is never used beyond trying things on virtually, nor is your photo used for training purposes. It is not shared with other Google products, services or third parties, and you can delete or replace it at any time." I was jaw-droppingly, pleasantly surprised by this. In the age of AI, tech companies are typically so data-hungry that a source of data like this seemed like a no-brainer for Google to use. Google spent a decent chunk of time during I/O showing off its new AI image and video tools, and human-generated photos like these would be useful for future model improvements. Tech and fashion companies have been trying to work at these problem for years -- my CNET colleague Katie Collins wrote about one dress-sizing app all the way back in 2012, and Amazon's integrated AI for its fashion sales in recent years, too. This fashion model, as Vidhya Srinivasan, Google's vice president and general manager of ads and commerce, called it during the keynote, has "a deep understanding of the human body." We'll have to test it out to see if it really works for all body types and sizes. AI image generators, especially early ones from Google, aren't always great when it comes to diversity. But I'm willing to give Google a chance since it won't use my pictures to automatically train its AI models. As much as I want to believe Google has given us a 2025 version of Cher's closet from Clueless, I'm still a little skeptical. There's no guarantee that the AI version of yourself Google generates will actually reflect how the clothing looks on you in real life. But maybe this is a potentially good use of AI, instead of filling the internet with slop.
The Sun
20-05-2025
- Business
- The Sun
Google fixes worst thing about online clothes shopping with 30-second phone trick – and it works on BILLIONS of products
THE pain of ordering clothes online that don't suit you could soon be a problem of the past. Google has revealed a game-changing new trick that allows people to try on billions of garments virtually. 2 All you need to do is upload a full length body image and the "try it on" tool will magically add the clothing onto you within seconds. The firm says its latest tech is powered by a clever image generation model which is capable of understanding the human body and the various ways we wear clothing. It can pick up on how different materials fold, stretch and drape on different bodies to produce an authentic looking shot of you in the clothing you've selected. "It preserves these subtleties when applied to poses in your photos," said Lilian Rincon, Google's Vice President for Product Management. "The result is a try-on experience that works with photos of you." The feature is only available to test in the US for the moment. It comes as part of Google 's major new AI Mode tool, a deeper chat-bot style addition to the main Google Search. Shoppers will also be able to get price alerts for products so they don't miss sales. Users can set a price they're prepared to pay for an item and Google will send them a notification as soon as it's within that value. Consumers will be able to buy the product there and then too without needing to navigate to the retailer's website. THIS COULD REVOLUTIONISE SHOPPING Analysis by Jamie Harris, Assistant Technology and Science Editor at The Sun This could mean you never have to miss a big sale never again. We've all been there - spotted a cute jumper but don't like the price, so you keep checking back in case it's on sale (or, simply forget). This new feature will keep tabs on that item and send you a notification as soon as the price has gone down to a price you're happy to pay. And better still, you'll be able to pay for it there and then with Google, no need to go to the retailer's own site and add to basket. The feature is only coming to the US first but will surely come to other countries later.
