This research paper presents Second Life, an Agentic AI–powered Refurbished Goods Shopping System designed to simplify and automate refurbished product management. The system allows users to interact using natural language, voice, and image inputs, making product search faster and more intuitive. Instead of traditional manual filtering, the AI agent understands user intent, retrieves product details, checks availability, applies discounts, and updates listings through tool-based backend actions. The platform integrates FastAPI, SQLite, and Google’s Agentic LLM tools to perform real-time, verifiable database operations. A modern 3D-inspired user interface enhances engagement and provides a futuristic shopping experience. This project demonstrates a practical application of Agentic AI in e-commerce, showing how automated reasoning and action execution can reduce user effort, improve accuracy, and support the growing demand for affordable refurbished electronics.