Multi-Agent-Seller provides a modular environment for simulating e-commerce negotiations using AI agents. It includes pre-built buyer and seller agents with customizable negotiation strategies, such as dynamic pricing, time-based concessions, and utility-based decision-making. Users can define custom protocols, message formats, and market conditions. The framework handles session management, offer tracking, and result logging with built-in visualization tools for analyzing agent interactions. It integrates easily with machine learning libraries for strategy development, enabling experimentation with reinforcement learning or rule-based agents. Its extensible architecture allows adding new agent types, negotiation rules, and visualization plugins. Multi-Agent-Seller is ideal for testing multi-agent algorithms, studying negotiation behaviors, and teaching concepts in AI and e-commerce domains.

Jurny is an advanced property management solution designed to optimize and streamline the operations of vacation rental properties. The platform offers features such as reservation management, dynamic pricing, guest communication via a dedicated app, and an IoT hub for smart management of amenities. With tools like Airbnb Connect, review tracking, and AI-powered automation, Jurny simplifies the management process, enhancing efficiency and guest satisfaction.