The startup develops computer vision technology that accurately measures foot sizes and shoe inner shapes at a millimeter scale, feeding this data into a machine-learning algorithm. This enables footwear retailers to enhance online fitting accuracy, improving customer satisfaction and reducing return rates due to sizing issues.
Funding
$3.8M 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 footwear retailers face high return rates due to inaccurate sizing, leading to increased costs and customer dissatisfaction. Traditional size charts and manual measurements often fail to account for individual foot shapes and variations in shoe construction. This results in a frustrating shopping experience for consumers who struggle to find the right fit.
Solution
Perfitt provides an AI-powered solution that accurately measures foot dimensions and shoe inner shapes using computer vision technology. By analyzing foot shape, inner shoe size, and fit data, Perfitt's algorithms generate personalized size recommendations for online shoppers. This enables footwear retailers to improve fitting accuracy, reduce size-related returns, and enhance customer satisfaction. The platform integrates seamlessly into existing e-commerce sites, guiding customers through the measurement process and providing tailored size suggestions for specific shoe models.
Target Audience
Perfitt primarily targets footwear retailers and e-commerce platforms seeking to reduce return rates, improve customer satisfaction, and increase sales conversions.
Features
- Computer vision technology for measuring foot sizes and shapes with ±1.4mm accuracy
- AI algorithms that learn from over 2.5 million fit data points and 50,000 users
- Integration with e-commerce platforms to display personalized size recommendations on product pages
- Virtual try-on capabilities using augmented reality (AR)
- Database of over 600,000 users and 40 footwear brands
- Mobile foot scanning for precise measurements using a smartphone camera
- Data analytics dashboard for retailers to track fitting accuracy and return rates