Lookallure is a visual shopping app that lets users start their fashion search with a product they already like, rather than a specific brand or store. By uploading or selecting an image, the platform uses visual recognition to surface similar items from multiple retailers, enabling users to quickly discover and compare alternatives. The app streamlines the discovery process and helps shoppers find the exact style they want across the market.
Funding
Funding not disclosed
Founders
Product
Problem
Online shoppers often begin their search by selecting a brand or store, which can limit exposure to items that match their personal style and make it difficult to discover alternatives to a product they already like.
Solution
Lookallure offers a mobile app that lets users start their fashion search by uploading or selecting a product they already like. The app analyzes the visual attributes of the chosen item and instantly surfaces a curated set of clothing options that share similar style, cut, color, and material. By focusing on product-based discovery rather than brand-centric browsing, the platform streamlines the shopping journey and helps users find relevant alternatives more quickly. The recommendations are presented in a swipe‑friendly interface, enabling rapid exploration and easy navigation to purchase pages.
Target Audience
Primary users are mobile fashion shoppers who prefer to discover new clothing options based on items they already like, as well as retailers seeking to reach style‑focused consumers through product‑based recommendations.
Features
- Image‑based input allowing users to upload a photo or select an existing product as the search seed
- AI‑driven visual similarity engine that matches style, pattern, color, and silhouette across multiple retailers
- Mobile‑first, swipe‑enabled UI for fast browsing of recommended items
- Direct links to product pages for seamless transition to purchase
- Continuous learning from user interactions to refine recommendation relevance