MINETTE provides fit intelligence for e-commerce and apparel production by analyzing consumer data to prevent returns and optimize inventory. The platform delivers consumer insights and design guidance to reduce sample revisions and improve product-to-shopper matching. This results in lower return rates, increased conversion, and reduced material waste across the apparel lifecycle.
Funding
Funding not disclosed
Founders
Product
Problem
Online clothes shopping often leads to dissatisfaction due to inconsistent sizing, inaccurate recommendations based on past purchases rather than current needs, and difficulty visualizing how clothes will fit individual body types. This results in frequent returns, a feeling of frustration, and a closet full of clothes that don't feel quite right.
Solution
Minette is an AI-powered styling platform that aims to provide personalized shopping experiences by creating a "Fit Fingerprint" for each user. By analyzing user-provided images and preferences, Minette offers tailored product recommendations and outfit suggestions that match individual body types and style needs. The platform helps shoppers avoid the guesswork of online clothing purchases by curating items that fit well and suit the occasion, ultimately leading to increased customer satisfaction and reduced return rates for brands. Minette acts as a translation layer for fit data, ensuring shoppers find clothes that truly fit and flatter.
Target Audience
Minette targets individual consumers who are frustrated with the challenges of online clothes shopping, as well as brands looking to improve customer satisfaction and reduce return rates through personalized shopping experiences.
Features
- AI-powered "Fit Fingerprint" creation through user-submitted images
- Personalized product recommendations based on individual body type and style preferences
- Outfit suggestions tailored to specific occasions and user needs
- Curated shopping experience that eliminates endless scrolling
- A focus on accurate fit to reduce returns and increase customer satisfaction