AI Agent for Automated Restaurant Table Reservations Using n8n

The recent growth in restaurants, along with the increasing customer demand for speed and convenience, has made efficient reservation and order handling a critical operational requirement. Many restaurants still depend on manual or semi-automated reservation handling, which results in issues such as overbooking tables, poor table utilization, and increased staff workload. Existing digital solutions, including rule-based chatbots and static booking platforms, offer limited intelligence and lack real-time integration with databases. In this view, this research proposes an AI-agent for restaurant management that autonomously manages the dining process, from table reservations to pre-ordering food. The system is integrated with a large language model (LLM)-based agent with the n8n workflow orchestration, including a live google-sheets database, which helps in real-time availability checks for the tables, with the process of booking confirmation, modification, and cancellation. Unlike the existing systems with chatbots, the proposed solution shows agentic behavior by performing decision-making and tool calling based on live data. The results show improved reservation accuracy, reduced human intervention, and customer experience, highlighting the success of an AI agent in a hospitality management framework.