The startup offers a style lens application that analyzes user preferences through social network data to identify shoppable items in photos. By creating a personalized digital closet with products from partner brands, the application enhances product search efficiency, increases conversion rates, and reduces cart abandonment for retailers.
Funding
$230K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Online shoppers often struggle to find specific clothing items or accessories they see in photos, leading to time-consuming searches across multiple retailers. Existing product search methods often rely on keyword descriptions, which may not accurately capture the visual attributes of the desired item. This inefficiency can result in lost sales and frustrated customers for retailers.
Solution
Twiggy offers a visual search solution that enables users to upload images of clothing or accessories and instantly discover similar items from a catalog of partner brands. Using AI-powered image recognition, the platform analyzes the visual attributes of the uploaded image to identify matching or similar products. This allows users to quickly find the items they are looking for without relying on text-based searches. Retailers can integrate Twiggy's technology to enhance product discovery, increase conversion rates, and improve the overall shopping experience.
Target Audience
Twiggy targets online fashion retailers seeking to improve product discovery and conversion rates, as well as consumers who want a more efficient way to find clothing and accessories they see in images.
Features
- Image-based search functionality allowing users to upload images to find similar products.
- AI-powered visual recognition technology for accurate product matching.
- Integration with partner brands to provide a comprehensive catalog of shoppable items.
- Mobile application for convenient access to visual search capabilities.
- Real-time search results displaying visually similar products.
- Personalized recommendations based on user search history and preferences.