True Fit ✓
Decode size and fit with AI for confident shopping.
Verdict
A quick read before you dig into the full page.
- Best if
- Decode size and fit with AI for confident shopping
- Skip if
- Limited integration options
- Pick this when
- Fit personalisation
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Overview
True Fit is an AI platform that helps brands decode size and fit for shoppers. The aim is to boost conversions, reduce product return rates, and encourage customer loyalty.
This tool offers a groundbreaking solution to the challenges faced by consumers when shopping online for clothing, by accurately predicting the right size for each individual.
The tool is trusted by numerous brands and retail companies worldwide. The underlying technology utilizes machine learning to determine the appropriate fit for various types of clothing and footwear for different shoppers, rendering traditional size charts and model measurements inadequate in comparison.
The platform has been designed to be user-friendly, offering a smooth and quick integration process for brands. Simply put, True Fit is a merchant tool that leverages AI to enhance the digital shopping experience, specifically around issues of size and fit, driving shopper confidence and hence revenue.
Access & connections
Where you can use True Fit.
Platforms
Capabilities
What this tool accepts, produces, and is strongest at.
Input
- Tabular
Output
- API
- Text
Pros & cons
Pros
- Fit personalisation
- Boosts customer conversions
- Reduces product return rates
- Encourages customer loyalty
- Accurate size predictions
- User-friendly platform
- Quick integration process
- Improves digital shopping experience
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- Drives shopper confidence
- Increases revenue
- Effectively replaces size charts
- Handles different clothing types
- Handles different footwear types
- Trustworthy among many brands
- Trustworthy among retail companies
- 80M active users
- 29K associated brands
- 21B PDPs served annually
- Increases site-wide conversion
- Reduces size bracketing returns
- Increases site-wide RPS
- Fast app integration
- Successful use cases featured
- Applied across various categories
- Increase in shopper confidence
- Easy size finder
- Enhanced digital fit experience
- Connects shoppers to fashion
- Integrated in e-commerce stores
- Positive user testimonials
- Applicable on Shopify
- Assists in various industries
- High trust level with consumers
- Ease of use after weight-loss
- Functional for unique body types
- Assists in various product lines
- Trusted by varying brand sizes
- Good for hard-to-find sizes
- Successfully implemented by ASICS
- Successfully implemented by PacSun
- Successfully implemented by Forever New
- Boosts profitability
- Helps conversion in new categories
- Supports plus-sized shopping experience
Cons
- No mobile application
- Limited size prediction accuracy
- Lack of multi-lingual support
- Exclusively caters to clothing, footwear
- Limited integration options
- Can be confusing for users
- Requires large data for predictions
- No offline functionality
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- May not cover all brands
- No options for physical stores
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