Fittora AI Shopping Assistant

Develop by Shopify

$49-$499

/ Month

Free plan available 15 Days Free Trial

"AI-enhanced fashion shopping: Discover, style, and fit perfectly."

Intent-based discovery

Styling recommendations

Ai fit suggestions

Contextual personalization

About Fittora AI Shopping Assistant

Launched Jun 03, 2025

Built by Shopify

Address

114 W. 17th Street, New York, NY, 10011, US

Website Support Portal Privacy policy Tutorial FAQ Document

Claim Offer

ZB: Facebook & Messenger Chat

(21 Reviews)

Claim Offer

Sponsored

Support your customers quickly using Facebook Live Chat.

Description

Fittora helps users discover, style, and size products with AI - improving conversion, AOV and RTO

Fittora is an AI shopping assistant built for fashion and apparel stores. It helps users discover the relevant products with intent-based search, complete their outfits with styling recommendations, and choose the perfect size with AI-powered fit suggestions. The result? Higher conversions, increased AOV, and fewer returns; all while delivering a modern, personalized shopping experience directly on your store.

Intent-Based Product Discovery
Complete the Look Recommendations
Intelligent Fit & Size Suggestions
Contextual Personalization

Pros

Intent-based product discovery helps users find relevant items quickly.
Styling recommendations assist users in completing their outfits, enhancing customer satisfaction.
AI-powered fit suggestions help users choose the right size, potentially reducing the rate of product returns.
The app offers a personalized shopping experience, which may increase user engagement and loyalty.
May lead to higher conversion rates and a rise in the average order value (AOV).
Provides a modern and streamlined shopping experience.

Cons

The reliance on AI might lead to inaccuracies in certain product recommendations or fit suggestions.
Users might find the AI suggestions intrusive or overwhelming if not implemented well.
The app's effectiveness can vary depending on the fashion store's existing infrastructure and data quality.
Initial setup and integration with stores could require more time and technical expertise.