Maura offers an AI‑driven platform that builds a virtual closet for each consumer by extracting clothing items from photos, social media, and receipts. The resulting first‑party data on wear frequency, mix‑and‑match patterns, and garment lifecycle feeds an Insight Engine that helps fashion brands design, merchandise, and market more effectively, while also providing personalized outfit recommendations.
Funding
Funding not disclosed
Founders
Product
Problem
Fashion brands lack direct, first‑party data on how consumers actually own and wear their clothing, relying instead on sales figures and limited surveys that do not reflect real‑world usage patterns.
Solution
Maura provides an AI‑driven lifestyle intelligence platform that captures the items users own, how they wear them, and how their behavior evolves over time. By ingesting images from camera rolls, social media, and purchase receipts, the system automatically builds a structured virtual closet for each consumer. Advanced computer‑vision models isolate each garment, extract style details, and standardize product imagery. The resulting data feed an Insight Engine that translates real‑world styling and wear patterns into actionable intelligence for product design, merchandising, and marketing. Additionally, AI curation tools enable stylists and customers to co‑create outfit recommendations that align with existing wardrobes and new collections.
Target Audience
Primary customers are fashion brands, retailers, and designers seeking first‑party consumer behavior data, as well as stylists and end‑users who want AI‑assisted outfit creation and personalized recommendations.
Features
- Automated virtual closet creation that extracts and organizes clothing items from user photos, social posts, and receipts using computer‑vision algorithms
- Standardization of garment images and metadata to produce consistent product representations with detailed style attributes
- Insight Engine that aggregates wear frequency, mix‑and‑match patterns, and lifecycle data to inform design, assortment planning, and targeted marketing
- AI curation tools that allow stylists, brand advisors, and consumers to generate personalized outfit recommendations based on owned items and new collections
- Recommendation system that aligns retailer suggestions with individual ownership, lifestyle, and personal style profiles