EMRO Integrates AI Agent Capabilities Into Its Procurement Solutions

- Provides AI agent functions capable of API calls and tool utilization for procurement tasks, RAG-based search using procurement data and documents, and data analysis through SQL query generation

- Applicable to a wide range of use cases including supplier search, procurement guideline inquiries, similar order history lookup, and procurement report creation, enhancing supply chain efficiency and supporting more precise decision-making

- Secures multiple AI agent use cases through projects with leading domestic enterprises and plans to further advance solutions into an intelligent platform capable of addressing complex supply chain challenges through continuous R&D

July 3, 2025 – Emro Inc. (KOSDAQ: 058970), Korea’s leading AI-based SRM software company, announced that it is leading procurement innovation based on “Agentic AI” by introducing a wide range of AI agent capabilities into its procurement solutions.

Emro’s AI agents are built on various large language models (LLMs) optimized for each customer’s environment and are designed to perform key procurement-related tasks, including API calls and tool usage, retrieval-augmented generation (RAG) searches based on internally accumulated procurement data and documents, as well as data analysis and result generation through SQL query creation.

In particular, Emro has embedded functionalities related to the Model Context Protocol (MCP), which enables AI to access diverse internal and external resources or provide information to external systems. This allows the scope of information accessible to AI agents to be continuously expanded, further enhancing their usability and intelligence.

Procurement professionals can interact with AI agents directly within the procurement system by asking questions in natural language through a chatbot or by launching agents via action buttons and pop-up windows. These AI agents can be used for a wide range of tasks, such as supplier searches, checking procurement guidelines, navigating procurement system menus, retrieving similar order histories, and creating procurement-related documents and reports—making procurement work faster and more intuitive.

As a result, both the efficiency and accuracy of procurement operations are expected to improve significantly. In addition, regardless of individual users’ experience levels, accessibility to and utilization of procurement systems will be greatly enhanced. Ultimately, AI-driven, data-based insights will enable more sophisticated procurement decision-making, strengthening corporate supply chain competitiveness.

Emro has already delivered procurement-specialized AI agent capabilities as part of a next-generation procurement system project for Korea’s largest IT company. The company is also conducting proof-of-concept (PoC) projects with leading domestic plant engineering firms, applying AI agents to tasks such as similar order history searches and quotation comparison analysis, rapidly securing real-world Agentic AI use cases.

Through ongoing research and development, Emro plans to further expand the application scope of procurement-specialized AI agents. In the long term, the company aims to evolve its solutions beyond partial task support into an intelligent platform capable of resolving increasingly complex supply chain management challenges through organic collaboration among multiple AI agents.

An Emro spokesperson stated, “As supply chain risks continue to evolve and grow more complex, advancing procurement operations through Agentic AI is no longer optional but essential. By integrating a wide range of AI agent capabilities into our procurement solutions, Emro will continue to present a new paradigm for supply chain management to enterprise customers.”