one:one
Human element Digital twin element
AVTR Technologies 1:1 | one:one

Every customer deserves a fitting room.
Now, every screen can become one.

We build a digital replica of every shopper's body - exact proportions, real measurements, so they buy the right size the first time. They don't return the clothes. They return for more.

System Bleed Detected

The problem isn't your product.
It's the gap between your size chart and their body.

Global Friction
₹0B+

Global fashion e-commerce still sold with flat photos and guesswork.

Regional Return Rate
0%

Of Indian fashion orders get returned — the highest in e-commerce.

1 in 4

Returns happen purely because of size. Not quality. Not price. Size.

Profit Evaporation
12–15%

Of your profits evaporate in reverse logistics and restocking costs.

Critical System Verdict
The industry calls it the "return loop."
We call it what it is:
a leak you haven't plugged yet.
The Real Cost of "Maybe This Will Fit"

You're not losing customers.
You're losing them twice.

When a shopper orders the wrong size, you don't just lose the sale — you pay for reverse logistics, eat the restocking cost, and lose their trust. Most won't come back.

And the ones who do? They hedge by ordering two sizes, which means your fulfilment team is working double for half the retention.
The 3 things brands have tried:
01

Better photos and 360° views

Helps conversion, doesn't fix fit.

02

Generic size charts

Built for averages. Your customer isn't average.

03

"Size guide" pop-ups

1 out of 100 read them. You know this.

Acknowledged
The industry calls it the "return loop."
We call it what it is: a leak you haven't plugged yet.
Introducing 1:1 | one:one

1colon1 | A ratio.
A promise.

We didn't guess at a formula. We researched one. Before we wrote a single line of code for the fit recommendation, we spent months talking to fashion brands.

50+ conversations with founders, designers, and ops leads — about how their size charts were built, where they broke down, and what their return data actually said.
50+
1:1 Body
Garment Spec

What came out of that research is the 1:1 Fit Formula: a proprietary model that maps a shopper's 1:1 body avatar against your garment's specifications.

Not generic sizing standards, but your brand's own fit logic — telling them exactly what to buy, and how it'll feel when they wear it.

Not a recommendation. A verdict.

For every body that exists, 1:1|one:one creates a digital replica that matches it exactly — shoulder width, hip curve, — so the avatar wearing your garment is them.

Not a model. Not a size M mannequin. Them.
Digital Twin ID
AX-7749
Shoulder Width 42.5 cm
Hip Curve Ratio 0.82
Match Accuracy 99.8%
The Flow

Five steps. Under a minute.

01

Tap "Find My Fit with 1:1"

One button on your product page. That's the only thing that changes on your storefront.

Integration Note

One JS snippet. Works on Shopify, WooCommerce, or custom stacks. Your tech team's easiest Friday afternoon project.

02

Enter the basics

Gender, height, weight — a 10-second form that doesn't feel like a government application.

03

Upload your photos

A front profile and side profile. Our AI extracts multiple precise body measurements through a privacy-safe pipeline.

04

Meet your avatar

A digital twin built from their real measurements. Reviewable, adjustable, reusable across your catalog.

05

Get the right size.

1:1|one:one compares their avatar against your garment's specs and recommends the perfect size — snug, regular, or relaxed.

AVTR Runtime
Product
NEW ARRIVAL
Find My Fit with 1:1
Baseline Metrics
Gender Male
Height 180 cm
Weight 82 kg|
Profile Scan
Extracting Morphometrics...
Digital Avatar
1:1 Replica Locked
Optimal Fit Discovered
M
Your perfect fit for the selected product is size M
What 1:1|one:one Will Give You

Built for brands that take their margins seriously.

1

Return Reason Mapping

When returns do happen, we tell you exactly why. Size too small, wrong fit feel, unexpected drape. Your team stops guessing and starts fixing the right things.

Return Diagnostics: SKU-899
Shoulder Width (Too Snug) 42%
Drape (Unexpected) 28%
Hip Curvature (Too Loose) 15%
2

Body-Type Analytics

Know what your customers actually look like. Plan inventory, design fits, and set quantities against real body data — not last season's sell-through reports.

3

First-Party Fit Profiles

Every shopper builds a profile. That profile belongs to your brand — a high-intent data layer of real bodies, preferences, and behaviour.

ID:01
ID:02
ID:03
Why 1:1|one:one Is Different

Most try-on tools dress a mannequin. 1:1|one:one dresses your customer.

Avatar accuracy
Generic
Generic silhouette
One:One
1:1 body proportions
Sizing logic
Generic
Standard chart mapping
One:One
Garment-specific fit recommendation
Data returned to brand
Generic
Usage stats
One:One
Body-type intelligence + return mapping
India sizing
Generic
No
One:One
Built for Indian body diversity first
Integration
Generic
Often custom builds
One:One
JS snippet — works same week
Clear ROI. Zero Hidden Fees.

Pricing that scales with the margins you keep.

Pilot / Emerging

Starter

/mo

Perfect for independent brands validating their fit mechanics and reducing initial return rates.

  • Up to 5,000 Avatar Scans/mo
  • 1:1 Fit Recommendation Engine
  • Standard Return Analytics
  • Predictive SKU Diagnostics
Most Popular
Scaling / High Volume

Growth

/mo

Built to plug the return leak entirely. Deep analytics and first-party data ownership.

  • Up to 25,000 Avatar Scans/mo
  • Real-Time Return Reason Mapping
  • Predictive SKU Diagnostics
  • First-Party Body Data Export
Bespoke / Multi-Brand

Enterprise

Custom

Dedicated architecture, custom sizing logic logic mapping, and bespoke API integrations.

  • Unlimited Avatar Scans
  • Custom Sizing Algorithm Mapping
  • Headless API Architecture
  • Dedicated Success Engineer
Behind AVTR Technologies

We didn't build this because it was easy.

We built this because fashion's greatest flaw—the gap between the garment and the human body—was being treated as a feature. The industry accepted guesswork. We engineered a verdict.

Founder 1
Founder 2
Founder 3
Founder 4