Tailored is a digital platform that uses AI to analyze your existing wardrobe and personal style, offering daily outfit recommendations and identifying the most versatile pieces to add. It helps you avoid impulse purchases, declutter under‑used items, and make confident styling decisions, turning a chaotic closet into a streamlined collection.
Funding
Funding not disclosed
Founders
Product
Problem
Consumers often buy clothing items impulsively or based on trends, leading to wardrobes filled with pieces that are rarely worn and causing unnecessary spending and clutter. Deciding what to wear each day can also be time‑consuming and confidence‑draining without clear guidance.
Solution
Tailored offers a digital platform that analyzes a user’s existing wardrobe and personal style preferences to recommend outfits and identify specific gaps where new purchases would add the most value. By suggesting a curated selection of daily looks, the service helps users make confident decisions about what to wear and reduces the need for unnecessary shopping. The platform also highlights under‑utilized items and provides guidance for decluttering or rehoming them, turning a chaotic closet into a streamlined, functional collection. Through a brief two‑minute survey, users contribute feedback that directly shapes the product’s recommendations, ensuring the service stays aligned with real‑world needs.
Target Audience
Tailored is aimed at individual consumers who shop online, want to optimize their existing clothing collection, and seek personalized styling assistance without hiring a personal stylist.
Features
- AI‑driven wardrobe analysis that maps existing pieces to personal color and body profiles
- Daily outfit suggestions tailored to the user’s schedule, climate, and style preferences
- Gap detection algorithm that pinpoints the most versatile new items to purchase
- Decluttering assistance that flags rarely worn garments and offers rehome or donation options
- Simple feedback loop via a two‑minute anonymous survey to continuously refine recommendations