Slayrobe: New AI Fashion App with Colour Analysis, Wardrobe Tools & Style Tips

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Browse. Add to cart. Pay. While this has been the widespread manner of purchasing on-line, a brand new app goals to alter this for girls. Slayrobe, helmed by Delhi-based Pooja Lalwani, who has led style tech initiatives at Google, Tommy Hilfiger, and Calvin Klein prior to now, is aimed toward being a “structured, intelligent styling platform that puts the user’s body, story, and style agenda at the centre”. 

Pooja Lalwani
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Here, as soon as customers log in, they first enter their top, establish their physique form, options they’re taking a look at flaunting/downplaying, and their ‘vibe’. Think diva, boss, and the like. This knowledge then helps the app curate shoppable seems, advocate outfits, make-up, and jewelry. Like one thing? The app will lead you to the respective product’s model web site. “Unlike shopping or content apps, Slayrobe pioneers the creation of a pre-commerce layer, helping women understand what works for them, why it works, and how to use every day,” says Pooja.

The app offers a professional-grade 12-season colour analysis to identify your most flattering shades

The app provides a professional-grade 12-season color evaluation to establish your most flattering shades
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Slayrobe provides customers a variety of companies, together with a professional-grade 12-season color evaluation to establish your most flattering shades, product suggestions, and wardrobe administration instruments. “The latter comprises handpicked styles and styling suggestions, including exclusive access to products of homegrown brands such as UnDenim and Pieux. We also have a library of shoppable lookbooks, posts, and blogs,” says Pooja. She provides that expert-led content material and webinars will even be accessible alongside an AI-powered chat-based help “trained on both, style and confidence-related topics”. “Powered by a proprietary algorithm trained on over 70,000 styling decision points, and enhanced by AI, the app brings together expert styling logic, colour science, appearance psychology, and fashion intelligence.” 

Slayrobe also has a library of shoppable look books, posts, and blogs

Slayrobe additionally has a library of shoppable look books, posts, and blogs
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The thought to create such an app took place when Pooja, by means of her stints in style and tech, more and more discovered “fashion getting faster, louder, more data-driven”. “And when the narrative shifted to sustainability and waste reduction, it stayed stuck on the production side, addressing supply chain, circularity and design. No one addressed the rack of returns and the fact that the constant overwhelm of products wasn’t helping women,” says the entrepreneur who began researching the app in late 2024, and performed interviews, surveys, and discussions “to bring on potential users (over 1,000 women) to validate the idea”. The precise product construct, refinement, and testing got here collectively over the previous six months, she says. For styling logic and inputs, “besides leveraging fashion literature spanning over 100 publications, simplifying 70,000 decision points, we’ve also worked with consultants; image professionals, designers, technical product advisors,” explains Pooja. 

Once users log in, they first enter their height, identify their body shape

Once customers log in, they first enter their top, establish their physique form
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As for posts, blogs, and shoppable lookbooks on the app, they’ve been developed in-house. “We’ve sought inputs from stylists, designers and content experts where relevant,” she says, “During our beta with a real audience of over 25 participants, this content was reviewed and validated by a diverse group, including fashion house owners, beauty and makeup artists, working professionals, and individuals with formal fashion education.” 

Users can download and use basic community features, blogs, content, and chat for free

Users can obtain and use primary group options, blogs, content material, and chat totally free
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If you aren’t wanting to buy extra, the app additionally has a characteristic to assist organise your wardrobe. Simply take footage of your garments and equipment, and the app will give choices on learn how to pair them collectively. “It even prompts when a match isn’t found. The same refined logic runs while shopping for new items to suggest relevant pairings and styles,” she provides.

Currently working on a “freemium” mannequin, customers can obtain and use primary group options, blogs, content material, and chat totally free. “For advanced features, like colour analysis, wardrobe management, and a curated shopping experience, a periodic subscription is required,” Pooja concludes.

The app is on the market to obtain on the Play Store and iOS. The subscription is priced at ₹499 a month, however launches at an introductory value of ₹199.

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