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Smarter Shopping Starts Here.

With AI-powered virtual try-ons, Indie AI helps you find the perfect fit—before you buy. No more guesswork, just smarter, more confident choices.

INTRODUCTION

Indie AI is an innovative technology startup transforming the
way people experience fashion shopping—both online and
offline. At its core, the company has developed an AI-powered
virtual try-on system that captures a user’s body
measurements through a simple photograph. Using advanced
computer vision and 3D modeling, the platform offers realistic
previews of how clothes will fit and look on the user, increasing
buyer confidence and reducing product returns.

Indie AI operates through two integrated channels: a web based SaaS solution for e-commerce platforms and physical kiosks for in-store deployment. The brand’s mission is to bridge the gap between digital convenience and physical trial experiences. As fashion retail becomes more digital and datadriven, Indie AI positions itself as a critical enabler of personalized, efficient, and immersive shopping journeys.

VISION

To become the India’s most trusted AI-based fit and style
advisor, empowering every fashion shopper with
personalized, immersive, and confident decision-making,
whether online or in-store.

MISSION

To reduce fashion e-commerce return rates by
enabling accurate size predictions and realistic virtual
try-ons.
To provide scalable AI technology for fashion brands
and retailers, enhancing both user experience and
operational efficiency.
To bridge the digital and physical retail divide through
integrated web and kiosk solutions powered by
intelligent design

STYLE SOLUTIONS

Solutions to Move
Your Business Forward

WEB-BASED AI TRY-ON PLATFORM (SSAS)

CLOTHING RECOMMENDATION ENGINE

IN - STORE AI KIOSKS

CUSTOM LICENSING MODEL

PROBLEM STATMENT

HIGH RETUEN RATES IN FASHION E-COMMERCE

Up to 30–40% of fashion items bought online are returned, primarily due to size and
fit issues—causing major revenue loss and operational costs for brands.


LACK OF CONFIDENCE IN ONLINE PURCHASE
Customers often hesitate to buy apparel online due to uncertainty about how
clothes will look and fit on their unique body type.

INEFFICIENT IN- STORETRIAL EXPERIENCE
Brick-and-mortar stores struggle with long trial room queues, limited availability of
sizes, and poor trial conditions, reducing customer satisfaction.


LOST SALES AND RISING LOGISTICS COSTS

Frequent returns not only reduce margins but also increase reverse logistics
expenses and inventory handling complexity for fashion retailers.

SOLUTION STATMENT

AI POWERED BODY MEASUREMENT FROM A SINGLE PHOTO
Users can upload an image to instantly receive accurate body dimensions
using advanced pose estimation and mesh reconstruction technologies.

PERSONALIZED STYLE AND FIT RECOMMENDATIONS
The system suggests clothes that match the user’s body shape and style
preferences, reducing guesswork and increasing purchase confidence.

VIRTUAL TRY-ON VIA WEB & IN-STORE KIOSKS
Shoppers can preview how garments will look in real-time, either on the
brand’s website or through interactive kiosks placed at retail stores.

QR SYNC BETWEEN DEVICES
Users can shift seamlessly between in-store and mobile shopping by
scanning a QR code—enabling an uninterrupted and engaging retail
journey.

UNIQUE SELLING PROPOSITION

AI-BASED BODY MEASUREMENT FROM A SINGLE IMAGE

Indie AI uses advanced computer vision to generate accurate body metrics from just one photo—no hardware or manual input needed.

DUAL-MODE ACCESS: WEB PLATFORM & RETAIL KIOSK

The solution works seamlessly across both online (SaaS) and offline (in-store kiosks), enabling a consistent omnichannel experience.

HYPER-REALISTIC VIRTUAL TRY-ON INTERFACE

Combines 3D mesh modeling with user avatars to deliver a lifelike try-on experience that mirrors real garment fit and drape.

LICENSING FLEXIBILITY FOR BRANDS AND RETAIL CHAINS

Customizable pricing models (subscription or kiosk rental) with analytics dashboards make it scalable for varied retailer sizes.

Benefits

Style Strategy

STP ANALYSIS

SEMENTATION

  • Online fashion shoppers
  • Tech-savvy users
  • Urban consumers
  • Fashion retailers & ecommerce

TARGETING

  • Fashion brands &
    malls (B2B)
  • Fit-conscious digital
    shoppers (B2C)

POSITIONING

AI-powered virtual try-on
that bridges digital and
physical fashion shopping
with personalized fit and
style.

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SEMENTATION

  • Online fashion shoppers
  • Tech-savvy users
  • Urban consumers
  • Fashion retailers & ecommerce

TARGETING

  • Fashion brands &
    malls (B2B)
  • Fit-conscious digital
    shoppers (B2C)

POSITIONING

AI-powered virtual try-on
that bridges digital and
physical fashion shopping
with personalized fit and
style.

Edit Template

REVENUE MODEL

SCALEUP PALN

2025–26

Pilot with 3 e-commerce brands and install 5 kiosks in metro retail stores.

2026–27

Expand to 10+ retail stores and 2 shopping malls; onboard 5 new B2B clients.

2027-28

License SaaS to 15+ brands and deploy 25 kiosks across Tier 1 & Tier 2 cities

2028-29

Launch in 1 international market and reach 50+ B2B clients.

2029-30

75+ B2B clients, 150+ kiosks, presence in 3 countries

MARKETING STRATEGY

From Trial Room to Touchscreen – Indie AI Markets Where Fashion Meets Innovation.

STRATEGIC B2B PARTNERSHIPS

RETAIL & MALL ACTIVATIONS

DIGITAL & SOCIAL MEDIA MARKETING

CONTENT MARKETING & SEO

EVENT PARTICIPATION & AWARDS

COMPETETIVE ANALYSIS

MARKET POTENTIAL

OUR TEAM

SHUBHAM KEDIA (Founder & CEO)

BBA graduate with a sharp entrepreneurial mindset, Shubham blends strategic thinking with a passion for innovation. He leads Indie AI with a vision to simplify fashion shopping through smart, user-centric technology.

SUJEET KUMAR (CFO)

A B.Com (Accounts Honours) graduate with a strong grip on numbers and strategy, Sujeet oversees Indie AI’s financial planning, ensuring sustainable growth and operational efficiency.

FAQ

Need Assistance? Start Here

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Contact

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