What is Fashion Scan: AI Oufit Rating?
Unique AI outfit analysis based on your Numerology Profile (Life Path Number, Personality & Heart Desire Numbers) to build a deep understanding of your aesthetics and made tailored styling suggestion. Just snap your outfit, choose the occasion, and instantly see how well it matches your body and energy. By focusing on high-scoring outfits, you can save time and money when shopping for the right clothes, get ready for events, learn more about styling and improving your looks
Problem
Users struggle to create outfits that align with their personal style, body type, and energy using traditional styling methods, leading to a time-consuming and costly process when shopping for clothes, preparing for events, or learning styling techniques.
Solution
A mobile app that lets users analyze outfits using AI and Numerology Profiles (Life Path Number, Personality & Heart Desire Numbers), enabling them to snap outfit photos, select occasions, and get instant feedback on outfit alignment with their body, energy, and occasion (e.g., tailored styling suggestions, shopping guidance).
Customers
Fashion-conscious individuals, particularly women aged 18-34, seeking personalized styling insights; Personal shoppers, stylists, or influencers seeking data-driven styling recommendations.
Unique Features
Combines AI-driven visual analysis with numerology-based energy profiling (Life Path Number) to deliver holistic outfit evaluations and styling advice.
User Comments
Provides deep insights into personal aesthetics via numerology
Saves time/money by identifying high-scoring outfits
Helps users align clothing with their energy for events
Tailored suggestions improve styling confidence
Makes shopping decisions more intentional
Traction
Launched 6 days ago on Product Hunt (41 upvotes); founder @OufitRating has 47 followers on X; no revenue/user metrics disclosed.
Market Size
The global personal styling market was valued at $3.5 billion in 2023, with AI-driven fashion apps growing at 25% CAGR (Grand View Research).
