Month 8: AI Integration - Detailed Roadmap

Week 1: AI Infrastructure

Set up AI service adapter layer

Implement provider configuration system

Create AI service abstraction layer

Build fallback mechanisms

Set up monitoring for AI services

Week 2: Product Description Generation

Create product description generation

Build training data preparation system

Implement content moderation for AI outputs

Create AI-assisted category assignment

Implement feedback collection for AI outputs

Week 3: Product Image Enhancement

Create product image enhancement functionality

Implement background removal for product images

Build automated image cropping and resizing

Create image quality assessment

Implement image metadata extraction

Week 4: AI Recommendations

Create product recommendation engine

Implement personalized homepage content

Build "customers also bought" functionality

Create recently viewed recommendations

Implement search term suggestion system

Hybrid AI System

Create configurable AI service providers with feature flag controls

Implement performance monitoring and dynamic routing between self-hosted and external AI services

Technical Implementation Details

• AI Service Layer: Adapter pattern for multiple AI providers (self-hosted and external)

• Text Generation: Fine-tuned LLMs for e-commerce specific content

• Image Processing: Computer vision models for product image enhancement

• Recommendations: Collaborative filtering and content-based approaches

• Caching Strategy: Redis-based caching for frequent AI requests

Month 8 Deliverables

• Hybrid AI architecture with configurable providers

• Product description generation system

• Image enhancement and background removal

• AI-driven product recommendation engine

• Search term suggestions and auto-complete

• AI service monitoring and analytics

Key Technologies & Libraries

TensorFlow / PyTorch

Hugging Face Transformers

OpenCV

Stable Diffusion

Vector Databases

Redis

FastAPI AI Service

Python ML Microservices