B2B SaaS · Embedded Tech · Data Intelligence

The right fit. Right now. Every time.

VRODIA is fit intelligence infrastructure that ends fashion's most expensive invisible problem. Accurate body data for customers. Real cost intelligence for brands. Built from 831 real-world surveys across 7 countries.

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$890B
Global return problem annually
53%
Returns caused by fit issues
831
Surveys · 7 countries · validated
97%
Survey participants willing to use
USA
Germany
Switzerland
Afghanistan
China
Pakistan
India
$890B
Total US returns 2024 · NRF
53%
Apparel returns from fit · Global avg
26%
Average online apparel return rate
62%
Switzerland fashion return rate · Highest in EU
40%
Returns cost of original item price
48%
Shoppers who bracket-buy multiple sizes
97%
VRODIA field survey approval rate
$920B
Global fashion eCommerce revenue 2025
$890B
Total US returns 2024 · NRF
53%
Apparel returns from fit · Global avg
26%
Average online apparel return rate
62%
Switzerland fashion return rate · Highest in EU
40%
Returns cost of original item price
48%
Shoppers who bracket-buy multiple sizes
97%
VRODIA field survey approval rate
$920B
Global fashion eCommerce revenue 2025
Field Research

831 people. 7 countries.
One clear conclusion.

Independent ground-level research conducted offline and online, spanning continents and demographics. The data is unambiguous: fashion fit is broken, and people are ready for a solution that actually works.

831
Total Surveys
550
Offline Surveys · Direct field interviews
281
Online Surveys · 7 countries
Countries Covered
🇺🇸US
🇩🇪Germany
🇨🇭Switzerland
🇦🇫Afghanistan
🇨🇳China
🇵🇰Pakistan
🇮🇳India
97%
of offline survey participants reported they would adopt VRODIA's fit recommendation system as advised — the highest field validation rate recorded for a pre-product fashion technology solution.
Primary Finding

Survey participants across all 7 countries consistently reported frustration with clothing fit when shopping online. The majority had experienced at least one return caused by poor sizing, and a significant portion had abandoned purchases entirely because of uncertainty around fit. When presented with VRODIA's approach, willingness to use was near-unanimous.

Two Systems. One Intelligence Layer.

Built separately for
brands and customers.

VRODIA operates two distinct but interconnected intelligence systems. Brands see the financial picture. Customers get accurate body data. Together they close the loop that no size chart ever could.

▼
Return Rate Reduction
Fit-caused returns typically drop within the first 90 days. Every recovered return goes directly to margin. Measurable, attributable, compounding.
■
SKU-Level Fit Intelligence
Know exactly which products run large, small, or inconsistent across your catalogue. Fix sizing issues before they cost you a full season's margin.
▲
Platform Penalty Protection
High return rates trigger ranking penalties on Myntra, Ajio, and Amazon. VRODIA reduces your return flag rate and protects your discoverability.
∞
Proprietary Data Moat
Post-delivery feedback data is yours. No competitor can buy, scrape, or replicate it. Your brand's fit intelligence becomes a compounding strategic asset.
⚙
15-Minute Integration
One API. One embed. Works on Shopify, WooCommerce, and direct stacks. No replatforming. No engineering sprint. Live inside 15 minutes.
Brand Dashboard Preview
-24%
Return Rate Drop
+18%
Conversion Lift
₹4.2L
Avg Monthly Recovery
89
Fit Intelligence Score
Get Brand Access →
◯
Accurate Body Data
VRODIA builds a precise body profile from your measurements and fit history. Not a size chart guess. A data-driven match to the exact garment you're buying.
★
One Recommendation. Right First Time.
No more ordering three sizes and keeping one. VRODIA tells you your precise size for each specific garment, with a confidence score. One order. One delivery. Done.
●
Profile That Remembers You
Set up once in under 60 seconds. Your fit profile remembers your body, your preferences, and your history across every brand that runs VRODIA.
⌫
Fit Feedback Loop
A single tap after delivery makes your recommendations more accurate over time. The more you use VRODIA, the better it knows your body.
Fit Widget Preview
VRODIA Fit Intelligence
Based on your profile, we recommend:
Size M
92% confidence
Join Waitlist →
Live Intelligence Calculators

See what returns
are actually costing you.

Two precision calculators. One for brands quantifying return losses. One for customers understanding their fit cost. All figures powered by real industry data.

Brand Return Loss Calculator

Your Return Intelligence Report

Annual Revenue Lost to Returns
₹0
Monthly returns (units)
0
Monthly cost of returns
₹0
Fit-caused returns (53% of total)
0
VRODIA recoverable (annual)
₹0
Projected return rate post-VRODIA
0%
VRODIA Recommendation
Enter your brand details above to receive a tailored recommendation.

Customer Fit Savings Calculator

Your Fit Intelligence Report

Annual Fit-Related Waste
₹0
Monthly returns due to fit
0 items
Time wasted on returns annually
0 hrs
Potential annual savings with VRODIA
₹0
Fit accuracy improvement
0%
Your Fit Profile Insight
Enter your shopping habits above to get your personalised fit intelligence report.
The System

From integration to
intelligence.

Step 01
Brand Integrates VRODIA
One API call. One embed snippet. Your product pages carry the Fit Widget. Works on Shopify, WooCommerce, and direct stacks. Live in under 15 minutes. No engineering sprint required.
Step 02
Customer Builds Fit Profile
The Fit Widget opens on the product page. The customer answers a short guided sequence — height, weight, body shape, fit preference, past size history. Under 60 seconds. One-time setup, remembered forever.
Step 03
AI Matches Body to SKU
VRODIA's algorithm cross-references the customer's body profile against your specific garment's SKU-level fit data — not a generic industry size chart. Precision matching, not estimation.
Step 04
Recommendation Delivered
Customer receives one precise size recommendation — with a confidence score. No guessing. No ordering multiples. One purchase. Right first time. Conversion goes up. Returns go down.
Step 05
Post-Delivery Feedback Captured
After delivery, a one-tap prompt asks: did it fit? This 5-second response becomes proprietary training data — a feedback loop no competitor can buy, scrape, or replicate.
Step 06
Intelligence Compounds
Every feedback cycle trains the model deeper on your specific brand, fabrics, and customers. Fit accuracy compounds over time. The longer you run VRODIA, the wider the moat becomes — for you.
Market Intelligence

The problem is
measured in trillions.

Global Fashion eCommerce 2025
$920B
Statista Market Forecast 2025
US Retail Returns 2024
$890B
National Retail Federation 2024
Online Apparel Return Rate (Global Avg)
26%
Prime AI Industry Report 2025
Returns Caused by Fit Issues
53%
Prime AI / Industry Consensus 2025
Switzerland Fashion Return Rate
62%
Statista 2024 · Highest in Europe
Shoppers Who Bracket-Buy
48%
Prime AI Research 2025
Cost of Processing One Return
65%
Of original item value · Industry avg
German Online Fashion Returns
44%
Statista 2024 · Highest in DACH
Regional Breakdown

Our 7-country research maps directly onto the highest return-rate markets.

Switzerland (62%), Germany (44%), and the US (24.5%) together represent the most acute online fashion return problem globally. VRODIA's survey data validates that the pain is consistent across markets, cultures, and income levels.

Switzerland
62%
online return rate
Germany
44%
online return rate
United States
24.5%
online return rate
India (Myntra)
81%
fit-related returns
China
Low
logistics-constrained
Global Avg
26%
online apparel
Survey Participants · Verified Field Research

What 831 people
actually said.

These responses were collected during VRODIA's field research phase across offline and online surveys conducted in 7 countries. Identities are anonymised as per research protocol.

"I've returned at least 40% of everything I've bought online this year. Every single one was because of fit. If something could just tell me my actual size for each brand, I would never go back to guessing."
P
Priya M.
Survey Participant · Bangalore, India · Offline Survey
"In Germany we have a saying that return shipping is half the shopping experience. I order three sizes, always. It's just what you do. Something that fixes this would be genuinely different — and I would use it."
M
Marcus H.
Survey Participant · Munich, Germany · Online Survey
"The whole process of returning in Switzerland is easy, yes, but that doesn't mean I want to do it. It wastes my time, it wastes the brand's time. A fit solution that actually works? Yes. Absolutely yes."
S
Sophie W.
Survey Participant · Zurich, Switzerland · Online Survey
"I stopped ordering certain categories online completely because the fit was so unreliable. A size 32 from one brand is completely different from another. There's no standard. That's the problem. If VRODIA solves that, it solves everything."
A
Arjun K.
Survey Participant · Delhi, India · Offline Survey
"As someone who is plus-size, the return rate for me is even worse than average. Nothing ever fits the way it's shown. I would genuinely pay a premium for a tool that gave me accurate size recommendations. Without hesitation."
F
Fatima R.
Survey Participant · Chicago, USA · Online Survey
"We run a mid-size fashion brand on Myntra. Our return rate is above 30%. Most of it is fit. We don't have body data on our customers — only order data. That gap is real and it is expensive. A solution like VRODIA is exactly what we've been looking for."
R
Rahul D.
Brand Founder · Mumbai, India · Offline Survey
The Founder
R.D.
Risha Debbarma
Tripura, India
"The fit problem isn't a technology gap. It's a data gap. Nobody has collected the right data at the right level of precision. We did. 831 people across 7 countries told us what they needed. Now we're building it."
Risha Debbarma founded VRODIA after identifying a structural gap in fashion's data infrastructure. Based in Tripura, India, she conducted independent field research across 7 countries — 550 surveys offline, 281 online — to validate the problem before writing a single line of code. That research became the foundation of VRODIA's fit intelligence methodology. VRODIA Technologies Private Limited was founded on December 29, 2025 and renamed to VRODIA on March 8, 2026. Currently in incorporation process.
831
Surveys Conducted
7
Countries Researched
97%
Field Validation Rate
LinkedIn Work With VRODIA→
Ready to talk

Stop losing revenue to returns.
Start now.

We are onboarding our first brand partners now. Every serious inquiry receives a personal response — and a custom ROI analysis within 48 hours.

Or write directly to vrodiahq@gmail.com · Personal response guaranteed.

< 48hrs
Response Time
15 min
Integration Time
₹0
Cost to Explore
None
Commitment Required