Fital is an AI-powered browser extension that provides free, personalized size recommendations for online shoppers. By matching user measurements against a comprehensive database of brand-specific size charts, the tool eliminates the guesswork of finding the right fit across major retailers. The extension prioritizes user privacy through encrypted data processing and explicit consent controls.
Funding
Funding not disclosed
Founders
Product
Problem
Online shoppers frequently struggle with sizing inconsistencies across brands, leading to high return rates and a frustrating purchase experience. Without a reliable way to predict fit, customers often resort to ordering multiple sizes or gambling on guesses, which wastes time and money.
Solution
Fital offers a free browser extension that acts as an AI-powered shopping assistant, delivering accurate size recommendations in real time. The extension uses user-provided measurements and cross-references them against a curated database of size charts from supported retailers. When a user visits a supported online store, Fital analyzes the product's size specifications and suggests the optimal fit, eliminating guesswork. The system continuously improves its recommendations by incorporating user feedback on whether the suggested size worked, refining future suggestions. Privacy is a core focus, with all personal data encrypted and processed securely, never shared without explicit consent. The tool is designed to be effortless, activating with a simple tap on the extension icon while the user shops.
Target Audience
Primary users are frequent online shoppers who are tired of inconsistent sizing and want a free, reliable tool to reduce returns and improve purchase confidence.
Features
- AI-powered size prediction that matches user body measurements to a comprehensive database of brand-specific size charts
- Free browser extension available for Chrome, with a simple one-click installation and activation process
- Support for 18+ major retailers including Lululemon, Nike, Zara, H&M, and Patagonia, with continuous expansion
- Privacy-first architecture that encrypts personal details and requires explicit user consent before any data sharing
- Feedback loop that lets users report incorrect recommendations, enabling the AI model to learn and improve over time