Emro 為 GS Caltex 開發採購自動化 AI Agent

Emro will build an artificial intelligence (AI) agent to automate small-value materials procurement at GS Caltex.

Emro, an AI-based supply chain management software company, said on Oct. 29 that it had won a contract to develop a procurement automation AI agent for GS Caltex.

The project focuses on automating approximately 2,700 small-value materials purchases handled by GS Caltex annually. The system will enable an AI agent to analyze purchase requests and carry out the entire procurement process, from requesting and evaluating quotations to selecting suppliers and issuing purchase orders.

GS Caltex has been evaluating technologies to improve the efficiency of small-value procurement, led by its strategic procurement division and internal Digital and AI Transformation (DAX) Center. The company aims to automate repetitive procurement tasks, reduce employees' workloads and improve the objectivity of purchasing decisions and operational transparency.

Emro will first analyze and standardize GS Caltex's historical procurement data to establish criteria for item categories, purchase amounts, procurement types, supplier selection and exception handling.

Based on these criteria, the AI agent will assess whether incoming purchase requests can be automated and handle eligible transactions from quotation requests through purchase order issuance. Cases requiring additional review will be referred to procurement personnel for manual processing.

Emro will also establish a monitoring system that allows procurement personnel to track the AI agent's processes and results in real time. Employees will be able to intervene when exceptions or errors occur, reducing operational risks associated with automation.

The project will use Emro's proprietary AI agent development platform, AI Studio. The platform enables companies to develop, deploy and manage AI agents that integrate with internal enterprise systems to perform procurement tasks.

Emro plans to integrate the AI agent with GS Caltex's existing procurement systems and support the future expansion of AI agent applications beyond small-value materials purchases to other procurement operations.