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StyleSense – Personalized AI Styling

Innovator ID

SNDMAC013

AI styling platform offering personalized outfit and color recommendations based on body shape and skin tone to enhance confidence and fashion comfort.

  • Many people struggle to choose outfits that complement their body proportions and skin tone. This leads to confusion, low confidence, dissatisfaction after shopping, and wardrobe waste. Existing fashion platforms focus on trends or general sizes and ignore personalization. Personal stylists are expensive and inaccessible in Tier-2 and Tier-3 cities. As a result, individuals feel unsure about what suits them best, avoid experimenting with styles, and experience frustration in daily dressing. There is a need for an easy-to-use tool that gives instant, personalized, and confidence-building style recommendations.

  • StyleSense uses AI to analyze a user’s body shape and skin tone from measurements or images. It then suggests personalized outfits, color palettes, and styling combinations in real time. The platform boosts confidence, simplifies shopping, and provides inclusive fashion guidance for all body types.

  • Primary customers include young adults, working professionals, college students, and individuals seeking personalized styling to improve confidence and simplify wardrobe planning. Secondary customers include boutiques, fashion retailers, fashion institutes, and beauty & lifestyle brands that want to offer personalized styling experiences to customers. Influencers, personal stylists, and content creators can use the platform to enhance visual presentation and brand identity.

  • StyleSense provides highly personalized, instant, and expert-level styling guidance that users would otherwise pay a stylist for. It saves time, reduces shopping confusion, improves wardrobe usage, and boosts confidence. Boutiques and fashion brands can use the system to improve customer experience, increase conversion rates, and offer value-added styling. The solution is scalable, affordable, user-friendly, and backed by AI-driven personalization, making it a compelling and emotionally resonant fashion tool.

  • We Would Require Support In the Following :

    Technical and Product Development Support; Mentorship and Expert Guidance; Funding and Financial Assistance; Networking, Collaboration, and Investor Connect; Market Research and Business Planning Support

    Capital to achieve the desired outcome, we would require 

    Less than ₹10 L, unclear plan

    And would be required for

    Prototype Development Support; Business Model & Market Access Support; Technology and Digital Infrastructure Funding

  • Expected Return Should Be in:

    Less than 2 years

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