ScentFit

ScentFit helps shoppers stop wasting money on blind buys by predicting how a fragrance will wear on their skin and in their climate. Users answer a short profile (skin type, typical environment, sensitivity, preferred notes, budget) and log quick “wear tests” (longevity, projection, compliments, headache/irritation). The app builds a personal “wearability model” and recommends fragrances that fit the user’s real-world performance preferences, not just hype. It also suggests sampling plans (best decant sizes, number of tests needed) and flags likely disappointments (e.g., weak performance on oily skin, cloying in heat). This is a mobile app with an AI layer for personalization, but it’s grounded in user-entered data and structured reviews rather than magical scent detection. Monetization is subscriptions for advanced recommendations plus affiliate revenue from decant partners.