Hyundai Steel applies AI from raw material blending to purchasing and sales... selects five outstanding projects
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- 2026-11-11 10:08:05
- Updated
- 2026-11-11 10:08:05

[Financial News] Hyundai Steel is expanding the use of artificial intelligence (AI) across manufacturing and business operations, including raw material logistics and blending, product sales, and purchasing. Of the 198 submissions to this year’s in-house AI transformation (AX) performance contest, five top projects were selected, including raw material blending optimization and workflow automation.
Hyundai Steel said on the 11th that it had recently held the ‘2026 AX Performance-Sharing Session’ at the research institute at its Dangjin steel plant.
The contest, which began in August, received 198 submissions in total: 58 in manufacturing and 140 in business operations. Of these, 48 were exhibited, and 15 were presented and demonstrated on site. Following evaluations by judges and employees, two projects in manufacturing and three in business operations were selected as top projects.
In manufacturing, projects selected included AI-powered raw material logistics optimization and a system to optimize scrap steel blending. These projects propose efficient ways to manage raw material transportation and blending.
In business operations, three projects were selected: an AI-based product sales strategy and decision-making support system; automation of materials procurement and coil transfer tasks using AI agents; and a system for analyzing appropriate purchase prices. The projects focus on supporting sales and purchasing decisions and automating repetitive tasks.
Hyundai Steel has also operated a platform since this year that allows employees to register AX cases and take part in evaluations. The company plans to work with its digital transformation (DX) specialist department to support technical validation and development of outstanding projects drawn from new ideas submitted to this contest.
Hyundai Steel President Lee Bo-Ryong said, “We need to share successful experiences in using AX and collaborate to deliver tangible results that boost productivity and manufacturing competitiveness.”
[email protected] Kim Mi-hee Reporter