ShopAI：基于本地大语言模型的全栈智能电商平台

ShopAI is an open-source full-stack e-commerce solution developed by RayhanKabir-75 (hosted on GitHub: AI-Powered-E-commerce, released 2026-05-31). It integrates AI recommendations, local LLM chatbot, AI product description generation, and analytics dashboards. Built with Django REST Framework (backend) and React19 (frontend), all AI functions run locally via Ollama Llama3.2—no external API keys needed, ensuring data privacy and zero API costs.

Traditional e-commerce platforms face limitations in product discovery, user behavior understanding, and real-time customer interaction. ShopAI addresses these by embedding GenAI/NLP across the user journey. Unlike cloud-based AI solutions, its local LLM setup avoids data leaks and recurring API fees, making it ideal for budget-conscious projects and privacy-focused use cases.

• Consumers: AI-powered personalized recommendations (based on browsing/purchase history), real-time chatbot (queries real DB data for order/status questions), full shopping flow (cart, checkout, order tracking)
• Sellers: Product management dashboard, AI-generated product descriptions (from basic info), order monitoring
• Admins: Analytics dashboard (KPIs like revenue/orders, interactive charts), order management (inline status updates)

ShopAI uses Ollama to run Llama3.2 locally, offering benefits: data privacy (no external data transfer), zero API costs, offline availability, fast responses. Key AI modules:

1. Chatbot: Answers user queries using real-time DB data (e.g., order status, stock)
2. Product Description Generator: Creates marketing copy from product details (title, specs, price)
3. Recommendations: Dynamic personalization based on user behavior (beyond basic协同过滤)

Layer	Technologies
Backend	Python3.11, Django6, Django REST Framework
Database	MySQL8
Frontend	React19, React Router v7, Recharts (charts)
AI/LLM	Ollama (Llama3.2, local)
Auth	DRF Token Authentication + CSRF
Styles	Custom CSS (DM Sans + Playfair Display fonts)

Deployment requires: Python3.11+, Node.js18+, MySQL8, Ollama, Git. Steps:

1. Env prep (install dependencies)
2. DB setup (create DB/user, config permissions)
3. Backend: virtual env, install packages, run migrations, start server
4. Frontend: install npm packages, start dev server
5. AI: pull Llama3.2 via Ollama, start server If Ollama isn't running: AI features degrade (chatbot shows offline, description uses templates; other functions work normally)

Role	Permissions	Default Redirect
Consumer	Browse, cart, checkout, chatbot, order tracking	/home
Seller	Product management, AI description tool, order view	/seller
Admin	Analytics dashboard, full order management	/admin

ShopAI provides a reference for integrating local LLM into e-commerce (balancing AI capabilities with privacy/cost). It demonstrates modern full-stack best practices (separation of concerns, RESTful APIs, component-based frontend). For developers, it's a learning resource covering end-to-end full-stack + AI integration (from DB design to local LLM usage).