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Fittora AI Shopping Assistant logo

Fittora AI Shopping Assistant

Develop by Fittora AI
Free plan available

"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

Categories

Built by Fittora AI

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  • Sponsored

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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.

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. more
  • 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.

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