AI Agent-Driven Procurement Automation with n8n Integration

EasyChair Preprint 15977

Abstract

This study proposes a high-level automated procurement agent model by integrating AI Agent technology with the low-code automation platform n8n, aiming to establish an enterprise-grade procurement workflow deployable within a LINE Bot interface. By incorporating multimodal input comprehension, semantic extraction, modular command execution, and reactive workflow generation, the system can autonomously handle procurement requests, data validation, inventory lookup, supplier price comparison, managerial approval, and order notification—without the need for human intervention. Furthermore, a formalized modeling and reasoning architecture is introduced, which leverages mathematical constructs such as state-action representations, cost functions, and policy optimization. This enables the agent to reason over time-dependent procurement states, make cost-effective decisions, and adapt dynamically to varying inputs across modalities.

Keyphrases: AI agent, LINE Bot Integration, Multimodal Semantic Parsing, Procurement Automation, Workflow (n8n), low-code

@booklet{EasyChair:15977,
  author    = {Ting Yih Chang and Yi-Ti Lin and Chih-Yung Chang},
  title     = {AI Agent-Driven Procurement  Automation with n8n Integration},
  howpublished = {EasyChair Preprint 15977},
  year      = {EasyChair, 2025}}