See it on. Know it fits.

Virtual Try-On, powered by True Fit Intelligence.

Give shoppers more than a visual preview. True Fit Virtual Try-On combines AI-powered visualization with size-and-fit intelligence built from 20 years of real purchase-and-return outcomes.

Shoppers can see themselves in the styles they’re considering, then get personalized guidance on how the item will fit and feel, and which size is right for them. The result: higher conversion from confident shoppers, fewer fit-related returns, and fewer sizing questions for support.
Get a Demo
See the look.
Understand the fit
Buy with confidence.
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More than a virtual fitting room
A great look doesn’t guarantee a great fit.
01 / See the look
Shopper's original photo
Shopper wearing selected style

Make the style personal.

A photo becomes a visual preview of the shopper wearing the item.

02 / Understand the fit
Navy blue selected dress
Same style.
Your fit.
How will this fit me?
TRUE FIT INTELLIGENCE
Your size recommendation
Expected fit + feel
Your fit preferences
Personalized from your True Fit profile

Turn the look into a confident choice.

Personalized size recommendations. Guidance on fit and feel.

The True Fit data advantage

20 years behind the recommendation.

Proprietary cross-brand purchase, keep, and return outcomes connect the shopper, the product, and the fit between them.

The shopper

Fit history + preferences

The product

Style, sizing + attributes

Real outcomes

Purchases, keeps + returns
Personalized fit intelligence
Learning from real shopping outcomes, across brands.
20 YEARS
of outcome learning
91K
apparel + footwear brands
60M
unique products
AI Your experience
↔
MCP Connection
↔
TRUE FIT Fit intelligence
Shopping chat Search Support Your workflow
Explore Fit Intelligence via MCP →

See it. Ask about it.
Choose with confidence.

Virtual Try-On + Shopping Advisor. Or bring True Fit’s fit intelligence to the AI you already have.
See Virtual Try-On in action.

Help shoppers buy with confidence, reduce fit-related returns, and ask fewer sizing questions.

What is AI virtual try-on?
Does the image show which size to buy?
Can True Fit work with our existing AI?
See Virtual Try-On in Action

Reporting Center

01Size Sampling
Find where size sampling starts and where to stop it.
Understand how often shoppers purchase multiple sizes of the same product and see how True Fit helps reduce unnecessary bracketing.
Explore behavior across the shopper journey
Identify products with the most sampling
Measure opportunities to improve confidence
02
True 360
Get the full picture of every shopper
Reveal the brands most commonly represented in your shoppers’ True Fit closets and identify valuable cross-brand relationships.
Understand brand affinity
Identify cross-brand relationships
Add sizing context to preferences
03
Demographics
Build a clearer picture of the shoppers you serve.
Explore demographic and body-profile insights to understand who your customers are and how their needs vary across key audiences.
Compare key shopper segments
Understand body-profile patterns
Add context to audience strategy
04
Fit Consistency
See Fit from Every Angle. 
Explore the shopper, product, and behavioral signals behind fit to uncover patterns across your business. 
Spot products that run small or large
Compare cohorts and categories
Prioritize fit guidance updates
05
Top Closet Brands
Discover the brands already shaping shopper preference.
Explore the shopper, product, and behavioral signals behind fit to uncover patterns across your business. 
Spot products that run small or large
Compare cohorts and categories
Add sizing context to preferences
Product Detail Pages (PDP)
Product List Pages (PLP)
Homepage
Search

Get conversational.

Reduce
cognitive overload.

Fit intelligence inside
Turn doubt into delight.

55% of product listings have stockouts.

What if you could filter out any items that aren't available in a shopper's recommended size?

(Personal Size Filtering)

Now you can.  
Less doubt.
Less shopper fatigue.
No more dead ends.

Pro Tip

Learn how you can incorporate fit intelligence into any list page outside of True Fit's agent via MCP.le insights into your spending habits.

Start the conversation early

and adapt the entire journey to every shopper.

Our AI Fit Intelligence doesn't replace search.  

It eliminates doubt and dead ends.

Get a Demo

Same Trusted Data. More Intuitive Delivery.

Product Detail Pages (PDP)
Make every PDP conversational.
Answer product and fit questions in context.
Guide shoppers to the right size.
Turn confidence into conversion.
Product List Pages (PLP)
55% of product listings contain stockouts. What if shoppers could filter out anything unavailable in their recommended size?

Now they can. Less doubt. Less shopper fatigue. No more dead ends.
Bring personal size filtering to any product list page through Fit Intelligence via MCP, even outside the True Fit Shopping Agent.
Homepage
Start the conversation early and adapt the entire journey to every shopper.
Search
Native Fit Intelligence doesn’t replace search.
It eliminates doubt and dead ends.
Product Detail Pages (PDP)
Product List Pages (PLP)
Homepage
Search

Get conversational.

Reduce
cognitive overload.

Fit intelligence inside
Turn doubt into delight.

55% of product listings have stockouts.

What if you could filter out any items that aren't available in a shopper's recommended size?

(Personal Size Filtering)

Now you can.  
Less doubt.
Less shopper fatigue.
No more dead ends.

Pro Tip

Learn how you can incorporate fit intelligence into any list page outside of True Fit's agent via MCP.le insights into your spending habits.

Start the conversation early

and adapt the entire journey to every shopper.

Our AI Fit Intelligence doesn't replace search.  

It eliminates doubt and dead ends.

Get a Demo

Dynamic Size Chart Creation and Management

Give shoppers another trusted point of reference. True Fit generates and continuously refines size charts across apparel and footwear using real cross-market sizing data and purchase-and-return outcomes.

The same structured size data also supports Agentic Engine Optimization, helping major agent platforms better understand and recommend your products.
Get a Demo

Reporting Hub and Transformational Insights

One Fit Profile.  
Better Experiences Everywhere.

Shoppers share their fit preferences once. True Fit turns that consented first-party data into a persistent profile you can activate across onsite experiences, email, and advertising through True 360 Member View and Shopify integrations.
Get a Demo
01 Size Sampling
02 True 360
03 Demographics
04 Fit Consistency
05 Top Closet Brands
Find where size sampling starts and where to stop it.
Understand how often shoppers purchase multiple sizes of the same product and see how True Fit helps reduce unnecessary bracketing.
  • Explore behavior across the shopper journey
  • Identify products with the most sampling
  • Measure opportunities to improve confidence
Get the full picture of every shopper
True 360 brings together shopper profile, body, preference, brand affinity, and product discovery signals in one view, giving your team a deeper understanding of the data powering personalization.
  • Explore individual shopper profiles
  • See body, preference, and brand-affinity signals
  • Understand recommendation context
Build a clearer picture of the shoppers you serve.
Explore demographic and body-profile insights to understand who your customers are and how their needs vary across key audiences.
  • Compare key shopper segments
  • Understand body-profile patterns
  • Add context to audience strategy
See Fit from Every Angle. 
Explore the shopper, product, and behavioral signals behind fit to uncover patterns across your business. 
  • Spot products that run small or large
  • Compare cohorts and categories
  • Prioritize fit guidance updates
Discover the brands already shaping shopper preference.
Reveal the brands most commonly represented in your shoppers’ True Fit closets and identify valuable cross-brand relationships.
  • Understand brand affinity
  • Identify cross-brand relationships
  • Add sizing context to preferences
Get a Demo