SAIZ provides an AI-driven sizing solution that matches customer body measurements with garment specifications to enhance fit accuracy in e-commerce. This technology reduces return rates by addressing size-related issues, leading to improved conversion rates and operational efficiency for online retailers.
Funding
$4M 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.
EMSFounders
Product
Problem
Online fashion retailers face high return rates due to inaccurate or inconsistent garment sizing, leading to increased operational costs and reduced customer satisfaction. Existing sizing tools often rely on generic statistical estimations rather than precise product and customer data, failing to address the root cause of fit issues.
Solution
SAIZ offers an AI-powered sizing solution that connects product data with customer measurements to improve fit accuracy and reduce returns for e-commerce businesses. The platform creates digital twins of both garments and shoppers, matching product measurements with customer body measurements to provide personalized size recommendations. By analyzing historical data and integrating directly with online stores, SAIZ enables retailers to optimize product fit, increase conversion rates, and enhance customer loyalty. The system focuses on data-driven insights to address the core issue of garment fit, rather than relying on short-term conversion tactics.
Target Audience
The primary target audience includes fashion e-commerce businesses, product development teams, and retailers seeking to reduce return rates, improve customer satisfaction, and optimize product fit.
Features
- AI-driven size recommendations based on digital twins of products and customers
- Integration with Shopify and other e-commerce platforms
- Advanced analytics dashboard providing insights into customer sizing behavior and return patterns
- Product fit optimization across all categories using customer data
- Personalized size charts and virtual try-on features
- Data processing and storage compliant with GDPR regulations
- Seamless integration with existing e-commerce, CRM, and PLM systems