Outfit Constructor
Users build realistic outfits from catalog products, avatar models and poses, then turn static looks into social-ready content.
SMART.MODA · AI Fashion Commerce
One platform connecting outfit creation, smart shopping, virtual fitting and creator monetization.
SMART.MODA is a multimodal fashion-tech ecosystem where users create outfits from catalog products, try items virtually, publish looks, receive AI styling recommendations and generate commerce-driven creator royalties.
AI fashion commerceOutfit ConstructorVirtual Fitting RoomCreator royalty engineSmart Catalog & wardrobeFashion education / LFS
+37%Look-to-purchase conversion concept
2.4MEngaged audience concept
95%AI recommendation match
Executive summary
Fashion commerce is moving into an AI-powered operating layer.
SMART.MODA is positioned at the intersection of AI, personalization, creator-led discovery, resale, traceability and commerce infrastructure.
$9.20M
Y3 revenue forecast
$1.32M
Y3 EBITDA forecast
5.12x
M36 LTV / CAC forecast
3.9 mo
M36 CAC payback forecast
Platform ecosystem
One platform. Multiple revenue engines.
The ecosystem covers the full journey: outfit idea, product discovery, fitting, publishing, purchase, creator royalties and learning.
Smart Catalog + Fitting
Smart Catalog, Virtual Fitting Room, My Wardrobe, photo search and size matching reduce friction across discovery and purchase.
Community royalties
Creators publish looks, compete for visibility and earn royalties when shoppers buy products from their published outfits.
Outfit Constructor
Catalog-based styling, models and poses, layered looks and high-resolution content.
Smart Catalog
Vertical outfit discovery, product feed, best-value products and style matching.
Virtual Fitting Room
Body silhouette, garment sizes and personal fit view without traditional size tables.
My Wardrobe
Saved items, own pieces, photo search and favorites in one personal fashion space.
Stylist AI
Recommendations based on preferences, trends and context to assemble better looks.
LFS education
Fashion education programs, moderation and practical training using the Outfit Constructor.
Market analysis
The opportunity is where technology fixes fashion economics.
Growth is increasingly tied to better unit economics: smarter demand forecasting, faster content production, lower return risk, better inventory control and regulatory readiness.
Why now: market drivers
SMART.MODA addresses the key pressure points of modern fashion commerce: expensive content production, low personalization, high return risk and fragmented creator influence.
AI content creation
Brands and creators need faster ways to generate outfit visuals, campaign assets and social content without traditional production costs.
Personalized discovery
Shoppers expect recommendations based on style, body parameters, context and wardrobe — not only generic product feeds.
Fit & return reduction
Virtual fitting, size matching and wardrobe logic can reduce purchase uncertainty and improve conversion quality.
Creator-led commerce
Looks, stylists and fashion schools become measurable sales channels through royalties, publishing tools and marketplace links.
TAM · SAM · SOM logic
~$1.8T
TAM · Apparel market
~$1.3T
Digital TAM · Fashion e-commerce
~$410B
SAM · US + Europe digital fashion
$144B–$164B
Working SAM · ICP opportunity
$72M GMV
5Y SOM base case · $8.6M–$12.9M annual revenue potential at a 12–18% blended revenue rate
Business model
Blended monetization across commerce, AI and creator tools.
The dashboard frames SMART.MODA as AI fashion commerce with multiple revenue engines and a diligence focus on revenue quality, margin and CAC discipline.
Subscriptions
User, creator, brand and education access layers.
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.
Funding plan
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 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
$4.87M
Month 36 ending cash forecast
$41.4M
Base implied enterprise value
24–36 month launch plan
Validate the core product first, then scale ecosystem revenue.
The roadmap moves from MVP and soft launch to public launch, monetization, internationalization and Series A preparation.
0–6 months
MVP Launch
- Outfit Constructor
- Main Feed
- Women’s Products
- Product & Avatar Catalog
- Basic Brand Account
Core Validation ✦
6–12 months
MLP & Soft Launch
- Marketplace v1
- B2B Marketplace Integration
- Virtual Fitting Room v1
- Smart Wardrobe v1
- AI Product Pipeline
Traction Proof ◈
12–18 months
Public Launch
- Public Platform Launch
- School Account
- Brand API Integrations
- AI Outfit Animation
- Performance Marketing Launch
Commercial Launch ▤
18–24 months
Scale Product
- LMS v1
- AI Stylist v1
- Virtual Fitting Room v2
- Smart Wardrobe v2
- Brand Account with Analytics
- B2B Digital Showroom
Revenue Expansion ▣
24–36 months
Ecosystem
- P2P Virtual Content Sales
- International Version
- AI Stylist v2
- LMS Marketplace
- Brand Digital Drops
- AI Fashion Video / Reels
Platform Scale ◇
Diligence lens
Clear proof points before scaling spend.
Investor validation focuses on actual cohort behavior, acquisition economics, AI infrastructure cost, IP compliance and marketplace partner traction.
Cohort retention
Evidence needed: retention by creators, shoppers, brands and education users.
CAC / LTV discipline
Evidence needed: paid acquisition quality, CAC payback and scalable channel mix.
AI + IP compliance
Evidence needed: AI cost model, data protection, content moderation and IP controls.
Leadership team
Cross-functional team covering fashion, product, engineering, growth and legal.
The team combines fashion expertise, product and UX, engineering, AI, legal and compliance coverage to reduce execution risk across launch, scaling and partnerships.
Dmitry
CEO & Founder
20+ years in fashion, marketplaces, platform growth, brand marketing and fashion education.
Victor
Co-Founder · Digital Project Lead & Producer
Leads visual strategy, design, UX/AX and product delivery.
Julia
Co-Founder · Fashion Expert
15+ years in fashion, brand launches, marketplace buying, advertising and fashion shoots.
Ivan
CTO
20+ years in software development and experience with large blockchain payment infrastructure.
Marina
Chief Legal Adviser
International law, project structuring, partnership support and operational advisory.
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.