SMART.MODA — Investor Pitch Deck
↑ ↓ / PgUp PgDn to present
AI Fashion Commerce · Investor Pitch

One platform connecting outfit creation, smart shopping and creator monetization.

SMART.MODA is a multimodal fashion-tech ecosystem where users create looks from catalog products, try items virtually, publish outfits, receive AI styling recommendations and generate commerce-driven creator royalties.

AI stylistOutfit ConstructorVirtual FittingSmart CatalogCreator royalty engineLFS education
Open investor dashboard →Explore platform
SMART.MODA platform ecosystem visual
02
Problem · Why now

Fashion commerce is moving from generic product feeds to an AI-powered operating layer.

The market is no longer growing simply because fashion went online. Growth now comes from better unit economics: faster content production, stronger personalization, lower return risk and smarter product data infrastructure.

◈

Expensive content production

Brands and creators need faster ways to generate campaign visuals, social assets and outfit content.

◎

Low personalization

Shoppers expect recommendations based on style, body parameters, context and wardrobe — not only product grids.

↕

Fit uncertainty

Virtual fitting, size matching and wardrobe logic can reduce purchase hesitation and improve conversion quality.

$

Unmeasured creator influence

Looks, stylists and fashion schools can become measurable commerce channels through royalties.

Outfit Constructor interface
Solution

From fashion idea to product purchase in one connected loop.

SMART.MODA covers the full journey: outfit idea, product discovery, fitting, publishing, purchase, creator royalties and learning.

+37%Look-to-purchase conversion concept
95%AI recommendation match concept

Core loop

Create look → match products → try fit → publish → buy → reward creator → learn and repeat.

04
Product ecosystem

One platform. Multiple revenue engines.

Outfit constructor
01 · Content Creation

Outfit Constructor

Catalog-based styling, avatars, poses, layered looks, high-resolution visuals and AI animation.

Smart catalog
02 · Commerce Layer

Smart Catalog + Fitting

Vertical outfit discovery, product feed, best-value items, photo search and size matching.

Virtual fitting room
03 · Community Monetization

Royalties + LFS

Creators publish looks, compete for visibility and earn royalties when shoppers buy products from their outfits.

Market opportunity

A large category, but a sharper digital opportunity.

The investor logic is not to claim the entire apparel market, but to show a broad category TAM, relevant digital TAM and disciplined working SAM for the first scalable geography and ICP.

~$1.8T
TAM · apparel
~$1.3T
Digital TAM
~$410B
SAM · US + Europe
$144B–$164B
Working SAM
$72M GMV
5Y SOM base case
Technology engine

How SMART.MODA converts style inspiration into revenue.

This block is now read as a simple investor funnel: every technology module has a direct commercial role, not just a product feature.

01
User intent Looks feed, avatars and outfit constructor help users understand what they want to wear.
More sessions
↓
02
AI decision layer AI stylist, smart catalog, size logic and visual matching reduce choice overload.
Higher conversion
↓
03
Commerce layer Every look is connected to real products, brand catalogues and marketplace purchase flows.
GMV growth
↓
04
Creator network Stylists and users publish shoppable outfits and earn royalties from repeated sales.
Lower CAC
For usersconfidence and personalization
For brandstraffic, content and conversion
For investorsGMV, retention and network effects
06
Business model

Blended monetization across commerce, AI and creator tools.

S

Subscriptions

User, creator, brand and education access layers.

AI

AI rendering

Paid generation of high-resolution and animated outfit content.

%

Marketplace commission

Commerce take rate from product transactions and partner integrations.

✦

Virtual goods

Digital fashion, creator assets and brand digital drops.

The dashboard frames SMART.MODA as AI fashion commerce with a diligence focus on revenue quality, gross margin, CAC discipline and scalable channel mix.

Financial snapshot

Built for investor diligence: revenue quality, liquidity and CAC/LTV discipline.

The investor dashboard tracks revenue growth, EBITDA path, ending cash, funding plan, valuation, LTV/CAC and payback period, with data designed to refresh from Google Sheets.

$9.20MY3 revenue forecast
$1.32MY3 EBITDA forecast
5.12xM36 LTV / CAC forecast
3.9 moM36 CAC payback forecast
Diligence lens
$4.87MMonth 36 ending cash forecast
$41.4MBase implied enterprise value

What funds watch first

Cohort retention, paid acquisition quality, AI infrastructure cost, IP compliance, moderation and marketplace partner traction.

08
Service Launch Roadmap · 24–36 months

Validate the core product first, then scale B2C + B2B + AI commerce.

01 · 0–6 months

MVP Launch

Build & Validate

  • Outfit Constructor
  • Main Feed
  • Women’s Products
  • Product & Avatar Catalog
  • Basic Brand Account
  • Pre-seed Funding
Core Validation ✦
02 · 6–12 months

MLP & Soft Launch

First Audience

  • Marketplace v1
  • B2B marketplace integration
  • Virtual Fitting Room v1
  • Smart Wardrobe v1
  • AI Product Pipeline
Traction Proof ◈
03 · 12–18 months

Public Launch

Go to Market

  • Public Platform Launch
  • School Account
  • Brand API Integrations
  • AI Outfit Animation
  • Performance Marketing
  • Seed Funding
Commercial Launch ▤
04 · 18–24 months

Scale Product

Monetize

  • LMS v1
  • AI Stylist v1
  • Virtual Fitting Room v2
  • Smart Wardrobe v2
  • Brand Analytics
  • B2B Digital Showroom
Revenue Expansion ▣
05 · 24–36 months

Ecosystem

Expand

  • P2P virtual content sales
  • International Version
  • AI Stylist v2
  • LMS Marketplace
  • Brand Digital Drops
  • AI Fashion Video / Reels
Platform Scale ◇
09
Leadership Team

Cross-functional team covering fashion, product, engineering, AI and legal.

Dmitry

Dmitry

CEO & Founder
20+ years in fashion, marketplaces, platform growth, brand marketing and fashion education.

Victor

Victor

Co-Founder · Digital Project Lead
Leads visual strategy, design, UX/AX and product delivery.

Julia

Julia

Co-Founder · Fashion Expert
15+ years in fashion, brand launches, buying, advertising and fashion shoots.

Ivan

Ivan

CTO
20+ years in software development and blockchain payment infrastructure experience.

Marina

Marina

Chief Legal Adviser
International law, project structuring, partnership support and operational advisory.

Fashion ExpertiseProduct & UXEngineeringAILegal & Compliance
Investment ask

$2.25M Pre-seed now
$6.05M total equity funding plan.

Pre-seed capital supports platform hardening, AI rendering pipeline, initial paid acquisition tests, marketplace partner integrations and legal/IP setup. The base 36-month plan includes a $3.80M Seed in Month 13.

25.7%Pre-seed investor ownership at $6.5M pre-money / $8.75M post
17.4%Seed ownership at $18M pre-money / $21.8M post
Investor Dashboard →Roadmap
For investors, funds and partners

SMART.MODA is designed as the AI commerce layer where fashion content, product data, creator influence and marketplace transactions become one connected ecosystem.

Summary Market analysis Platform Investor Dashboard Roadmap Team

Figures are forecast outputs from SMART.MODA investor materials and are not audited financial statements. Final round structure, valuation and investor rights should be confirmed through due diligence and legal documentation. The Google Docs brief was not directly readable in this environment beyond its public document title, so this HTML deck uses the accessible SMART.MODA pages listed above.