emro Wins GS Caltex Project to Build Purchase Automation AI Agent
TECHWORLD ·
✦ AI Summary
emro said it had won the project to build GS Caltex's "purchase automation AI agent."
The project focuses on applying AI agents to about 2,700 small-scale materials purchasing tasks per year to reduce repetitive work and improve purchasing efficiency.
The AI agent will automatically handle quotation requests and evaluations, partner selection and purchase orders, while exception cases and matters requiring staff judgment will be handed over to staff.
emro announced that it had won the project to build GS Caltex's "purchase automation AI agent." The project focuses on applying an AI agent to about 2,700 small-scale materials purchasing tasks that GS Caltex handles each year.
The goal of the build is to reduce repetitive work and improve the efficiency of the purchasing process. Accordingly, the AI agent is designed to analyze items, amounts, types and partner selection criteria after receiving a purchase request.
The AI agent will also be equipped with functions to automatically handle quotation requests and evaluations, partner selection and purchase orders. Through this, it will automatically carry out the repetitive procedures involved in small-scale materials purchasing.
However, the system is not intended to automate all purchases at once. Cases that meet exception conditions or require the judgment of purchasing staff will be handed over to the relevant staff, and a system will be built to distinguish whether human involvement is needed depending on the level of automation possible.
In the operating phase, the system will provide a function that allows real-time monitoring of each stage of progress and processing results. In addition, it will be built so that, if an exception or error occurs, staff can immediately check and respond to it.
The project will begin with a step to analyze and standardize past purchasing data before implementation. Items to be organized include purchased items and amounts, types, partner selection methods and exception-handling criteria. The purpose is to build a reference information system that the AI agent can use when carrying out purchasing tasks.
The development of this agent will then be carried out based on emro's proprietary AI development platform, "AI Studio." AI Studio includes functions for connecting internal corporate systems, as well as functions for creating, deploying and managing AI agents that perform purchasing tasks.
GS Caltex plans to apply the AI agent first to small-scale materials purchases. It then plans to expand the scope of application to other purchasing tasks based on the operating results.
emro said it plans to leverage its experience integrating with GS Caltex's purchasing systems and its track record in projects for the energy and chemicals industries in this build. It also said that demand for purchasing process innovation based on AI agents is spreading across all industries, and that it plans to identify a variety of AI use cases and respond to customer needs.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=408987
References
This article was produced with the help of an automated content generation algorithm.
Source: TECHWORLD
View originalThis article was summarized and organized by BizCrush based on the original article from TECHWORLD. For exact quotations and full details, please refer to the original article.