Atelier Intelligence

Enterprise SaaS Platform for Luxury Fashion Houses

A comprehensive B2B platform enabling luxury fashion brands like Hermès, Bottega Veneta, and Chanel to leverage AI-powered personalization, blockchain authentication, and white-glove e-commerce while maintaining exclusivity.

Features

🔐 Digital Product Passport System

• Blockchain-verified authenticity certificates (NFT-based)
• Complete provenance tracking from atelier to customer
• NFC/RFID integration for physical-digital linking
• Craftsman signatures and production timeline documentation
• Materials sourcing transparency

🤖 AI-Powered Clienteling Suite

• Predictive styling recommendations based on purchase history
• Seasonal wardrobe planning for VIP clients
• Cross-brand coordination suggestions
• Event-based outfit curation (galas, yacht week, art basel)
• Personal shopping assistant capabilities

🎨 Virtual Atelier Experience

• 3D configurator for made-to-order pieces
• Real-time rendering of custom colorways and materials
• Virtual fitting rooms with photorealistic avatars
• AR try-on for accessories and small leather goods
• Live streaming of craftsman workshops

🛍️ Exclusive Commerce Infrastructure

• Invitation-only purchasing portals
• Intelligent waitlist management with priority allocation
• Private sale orchestration with tiered access
• Multi-currency and cryptocurrency settlement
• White-glove delivery scheduling

🏛️ Heritage Archive Digitization

• AI-powered cataloging of historical collections
• Pattern recognition for design DNA preservation
• Trend forecasting based on archive analysis
• Virtual museum exhibitions for brand storytelling

Technology Stack

• Runtime: Python 3.11+
• Framework: FastAPI with async/await
• Database: PostgreSQL with SQLAlchemy 2.0
• Cache: Redis
• Queue: Celery
• AI: Anthropic Claude, OpenAI, Pinecone
• Blockchain: Ethereum/Polygon (ERC-721)
• Payments: Stripe

Project Structure

atelier-intelligence/
├── src/
│   ├── api/                    # REST API endpoints
│   │   ├── routes/             # Route handlers
│   │   └── middleware/         # API middleware
│   ├── core/                   # Core configuration
│   │   ├── config.py           # Settings management
│   │   ├── database.py         # Database connection
│   │   ├── exceptions.py       # Custom exceptions
│   │   └── logging.py          # Structured logging
│   ├── models/                 # SQLAlchemy models
│   │   ├── brand.py            # Brand/organization
│   │   ├── product.py          # Products & variants
│   │   ├── client.py           # Clients & profiles
│   │   ├── order.py            # Orders & commerce
│   │   ├── user.py             # Platform users
│   │   ├── archive.py          # Heritage archive
│   │   └── waitlist.py         # Waitlist management
│   ├── modules/                # Business logic
│   │   ├── authentication/     # Auth & blockchain
│   │   ├── clienteling/        # AI recommendations
│   │   ├── commerce/           # Orders & payments
│   │   ├── archive/            # Heritage preservation
│   │   └── analytics/          # Business intelligence
│   ├── services/               # External integrations
│   └── utils/                  # Utilities
│       └── prompting.py        # AI prompt templates
├── tests/                      # Test suite
│   ├── unit/
│   └── integration/
├── docs/                       # Documentation
│   └── claude_code_prompting_strategies.md
├── config/                     # Configuration files
├── scripts/                    # Utility scripts
└── pyproject.toml              # Project configuration

Quick Start

Prerequisites

• Python 3.11+
• PostgreSQL 15+
• Redis 7+
• Node.js 18+ (for frontend, optional)

Installation

# Clone the repository
git clone https://github.com/your-org/atelier-intelligence.git
cd atelier-intelligence

# Create virtual environment
python -m venv venv
source venv/bin/activate  # or `venv\Scripts\activate` on Windows

# Install dependencies
pip install -e ".[dev]"

# Set up environment variables
cp .env.example .env
# Edit .env with your configuration

# Initialize database
alembic upgrade head

# Run the development server
python -m src.main

Environment Variables

# Application
ENVIRONMENT=development
DEBUG=true
SECRET_KEY=your-secret-key

# Database
DATABASE_URL=postgresql+asyncpg://user:pass@localhost:5432/atelier

# Redis
REDIS_URL=redis://localhost:6379/0

# AI Services
ANTHROPIC_API_KEY=your-anthropic-key
OPENAI_API_KEY=your-openai-key
PINECONE_API_KEY=your-pinecone-key

# Blockchain
BLOCKCHAIN_RPC_URL=https://polygon-rpc.com
BLOCKCHAIN_PRIVATE_KEY=your-private-key
NFT_CONTRACT_ADDRESS=0x...

# Payments
STRIPE_API_KEY=sk_test_...
STRIPE_WEBHOOK_SECRET=whsec_...

API Documentation

Once running, API documentation is available at:

• Swagger UI: http://localhost:8000/api/v1/docs
• ReDoc: http://localhost:8000/api/v1/redoc

Key Endpoints

Endpoint	Method	Description
/health	GET	Health check
/api/v1/auth/login	POST	User authentication
/api/v1/brands	GET	List luxury brands
/api/v1/products	GET	Product catalog
/api/v1/clients	GET	Client management
/api/v1/orders	POST	Create order

Subscription Tiers

Tier	Price	Brands	Features
Heritage	€50,000/mo	1-5	Core platform
Atelier	€150,000/mo	6-20	+ Advanced AI
Maison	€500,000/mo	Unlimited	+ Full Suite

Claude Code Prompting Guide

See docs/claude_code_prompting_strategies.md for comprehensive strategies on using Claude Code effectively for:

• Project initialization
• Architecture design
• Feature implementation
• Debugging and optimization
• Code review and refactoring
• Testing strategies

Quick Prompting Tips

1. Be specific: Provide clear requirements and constraints
2. Provide context: Include relevant background information
3. Iterate: Build complexity incrementally
4. Request tests: Always ask for accompanying tests
5. Verify: Review and test generated code

Development

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=src --cov-report=html

# Run specific test file
pytest tests/unit/test_auth.py

Code Quality

# Linting
ruff check src

# Type checking
mypy src

# Formatting
black src

Database Migrations

# Create migration
alembic revision --autogenerate -m "description"

# Apply migrations
alembic upgrade head

# Rollback
alembic downgrade -1

Architecture Principles

Clean Architecture

• Domain logic isolated from frameworks
• Dependency injection for testability
• Clear separation of concerns

Security First

• JWT authentication with refresh tokens
• Role-based access control
• Audit logging for compliance
• Data encryption at rest and in transit

Scalability

• Async/await for high concurrency
• Connection pooling for database
• Redis caching for performance
• Celery for background processing

Contributing

1. Fork the repository
2. Create a feature branch
3. Write tests for new functionality
4. Ensure all tests pass
5. Submit a pull request

License

MIT License - see LICENSE for details.

Support

For enterprise support and custom implementations, contact: enterprise@atelier-intelligence.com

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