Create a Python code template using Hugging Face Transformers and scikit-learn to build a generative AI model that produces marketing content (e.g., email campaigns or social media posts) for e-commerce businesses. Integrate a predictive component that analyzes user data (e.g., purchase history CSV) to forecast customer preferences and tailor the generated text accordingly. Include fine-tuning on a dataset like GPT-2 or Llama, with evaluation metrics for coherence and accuracy. Make it automation-ready for freelancers charging premium rates, with examples for handling surged demand in personalized experiences. Output the full code, explanations, and sample usage.
d6c8af7
verified
# Premium AI Marketing Generator Deployment Guide
## 🚀 Quick Start
1. **Install Dependencies**
```bash
pip install -r requirements.txt
- Run Sample Implementation
python ai_marketing_model.py
💼 Freelancer Business Model
Pricing Tiers
- Starter: $2,500 (Basic personalization + 3 content types)
- Professional: $4,500 (Advanced segments + A/B testing)
- Enterprise: $7,500 (Full automation + API integration)
Client Deliverables
- Custom-trained AI models
- Integration with client CRM/ERP systems
- Real-time content generation API
- Performance dashboard with ROI tracking
Scalability Features
- Async Processing: Handle 1000+ simultaneous requests
- GPU Optimization: 5-10x faster generation
- Auto-scaling: Cloud deployment ready
📊 Performance Metrics
- Content Quality: Coherence, relevance, brand alignment
- Customer Engagement: Click-through rates, conversions
- ROI Tracking: Revenue attribution per campaign
🎯 Target Clients
- E-commerce stores ($1M+ revenue)
- Marketing agencies
- Enterprise retail brands
🔧 Technical Requirements
- Python 3.8+
- 8GB+ RAM
- GPU recommended for training
- PostgreSQL for customer data