AI-Powered Virtual Try-On Platform
AI-Powered Virtual Try-On Platform
Project Overview
Traditional online shopping creates uncertainty — customers can’t visualize how products will look on them, leading to hesitation and costly returns. Kapda-Fashn set out to solve this challenge by building a smart, AI-first platform that delivers personalized, real-time try-on experiences directly on e-commerce websites.
Key Enhancements
AI-Driven Enhancements
AI-Powered Fit & Recognition – Facial and body recognition powered by machine learning ensures accurate sizing and placement of products.
Smart Recommendations – AI suggests products aligned with the shopper’s style, increasing upsell and cross-sell opportunities.
Computer Vision + AR Integration – Seamless, real-time AR try-ons driven by computer vision for lifelike product placement.
Data-Backed Insights – AI-powered analytics deliver insights on shopper behavior, engagement, and purchase likelihood.
Customizable AI Modules – Retailers can tailor AI features (recommendations, fitting accuracy, branding) to match their business goals.
Results Achieved
✅ 35% reduction in return rates through AI-driven fit accuracy
✅ 25% higher conversion rates as shoppers purchased with confidence
✅ Deeper engagement — customers spent more time interacting with products
✅ Scalable AI SaaS model adaptable from boutique retailers to enterprise e-commerce giants
