True Fit

Description

True Fit is a leading AI-powered fit and sizing intelligence platform designed for apparel and footwear retailers. It is trusted by over 29,000 brands globally, including well-known names like PacSun, ASICS, and Lands' End. The platform leverages a vast dataset built from 20 years of real purchase and return behavior across 60 million products and 100 million active users. True Fit provides personalized size recommendations by analyzing body characteristics, purchase history, brand fit patterns, and individual fit preferences. This intelligence is integrated directly into the shopping experience, offering guidance without requiring shopper interaction, although additional context can be requested for more personalized recommendations.

True Fit's recommendations are grounded in real-world outcomes, helping to build trust with consumers. The platform has demonstrated significant results, such as up to a 40% reduction in fit-related returns and a 1-2% sitewide conversion lift. It also supports a wide range of fit-related questions, providing decision-grade fit guidance that adapts to each shopper.

The platform is designed to be easily integrated into existing ecommerce systems, with support for various product data integration methods, including Shopify. True Fit's MCP (Multi-Channel Platform) allows AI shopping agents to access trusted fit recommendations without requiring custom logic. This integration supports global language and sizing, making it a versatile solution for retailers worldwide.

True Fit's value proposition lies in its ability to enhance consumer confidence during the buying process, reduce returns, and increase conversion rates. It offers a scalable solution for retailers looking to improve their fit intelligence capabilities without the need to develop in-house solutions. The platform's extensive data moat and continuous learning from shopper behavior ensure that its recommendations remain accurate and reliable over time.

True Fit's Core Features

• AI-powered fit and sizing intelligence

• Personalized size recommendations

• Integration with existing ecommerce platforms

• Real purchase and return data analysis

• Global language and sizing support

• Decision-grade fit guidance

• MCP for AI shopping agents

• Trust-building through real-world outcomes

• Reduction in fit-related returns

• Increase in conversion rates

• Support for multiple product data integration methods

• Continuous learning from shopper behavior

• Scalable solution for retailers

• Extensive data moat

• Versatile integration options

How to use True Fit?

1. 1

   Configure: Set up True Fit within your ecommerce platform

2. 2

   Integrate: Connect product data through supported methods

3. 3

   Deploy: Enable True Fit MCP for AI shopping agents

4. 4

   Optimize: Use data insights to refine fit recommendations

True Fit's Use Cases

• Retail Conversion
• Return Reduction
• Consumer Confidence
• Global Retail
• AI Integration

FAQ from True Fit

• How does True Fit provide size guidance?

  True Fit delivers size guidance by analyzing real purchase, return, and keep behavior across a large network of shoppers, brands, and retailers.

• Does True Fit require shopper interaction for recommendations?

  No, True Fit can provide size guidance automatically without requiring shopper interaction, although additional context can be requested for more personalized recommendations.

• How does True Fit personalize size recommendations?

  True Fit personalizes recommendations by accounting for body characteristics, purchase history, brand fit patterns, and fit preferences.

• What kind of data does True Fit use for recommendations?

  True Fit uses structured fit data built from real purchase, return, and keep behavior across a large network of shoppers, brands, and retailers.

• How does True Fit build trust in its recommendations?

  True Fit grounds recommendations in real purchase-and-keep behavior from similar shoppers, helping customers understand that guidance is based on real-world outcomes.

• What integration options does True Fit support?

  True Fit supports several methods for accessing product intelligence, including offline product catalog feeds, tf-integration.js deployment, and ecommerce platform integrations such as Shopify.

• Can True Fit be used without retailer feeds?

  Yes, conversational AI providers can activate True Fit MCP by sharing product catalog data they already have access to or by enabling secure integrations with ecommerce platforms.

• What is the MCP in True Fit?

  MCP (Multi-Channel Platform) is a feature that allows AI shopping agents to access trusted fit recommendations without requiring custom logic.