LEWK is an AI-powered virtual fashion stylist that integrates with e-commerce platforms to match retailer products with customer preferences using machine learning algorithms. This technology enables retailers to provide personalized outfit recommendations in under 30 seconds, significantly increasing cart value by three times.
Funding
$10K 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.
UOFounders
Product
Problem
Online fashion retailers struggle to provide personalized styling advice at scale, leading to generic product recommendations and lower conversion rates. Customers often find it difficult to discover outfits that match their individual preferences and body types, resulting in abandoned shopping carts and missed revenue opportunities for retailers.
Solution
LEWK offers an AI-powered virtual stylist that integrates directly into e-commerce platforms, providing shoppers with personalized outfit recommendations in seconds. By leveraging machine learning algorithms, LEWK analyzes customer preferences, body types, and trending styles to curate relevant product pairings from a retailer's existing inventory. This technology enables retailers to deliver a highly customized shopping experience, increasing customer engagement and driving significant growth in average order value.
Target Audience
LEWK primarily targets online fashion retailers seeking to enhance personalization, increase sales, and improve customer satisfaction.
Features
- AI-driven outfit recommendations based on customer preferences and retailer product catalogs
- Integration with e-commerce platforms via API for seamless deployment
- Real-time styling suggestions generated in under 30 seconds
- Machine learning algorithms that continuously improve recommendations based on user feedback and sales data