Samsung Electro-Mechanics has completed its transition to SAP S/4HANA and integrated scattered management and production data into a single system. The significance of this implementation lies not merely in a simple ERP replacement, but in establishing a foundation to utilize real-time connectivity for analysis and automation across financial, manufacturing, and supply chain data.

SAP Korea announced on April 8 that the implementation of Samsung Electro-Mechanics' next-generation ERP system has been completed. Samsung Electro-Mechanics established a real-time analysis environment by integrating key data, which was previously scattered across existing ERP, MES, and SCM systems, into a BW-based system. This is akin to transforming the structure to allow information separated by division to be viewed and analyzed from a single central location.

This project incorporated the SAP Premium Supplier framework. Based on this, a service foundation combining domestic operational personnel, data centers, and disaster recovery systems was applied, serving as a factor in enhancing security and operational stability in the Samsung Electro-Mechanics case as well.

The characteristics of the manufacturing industry were also reflected in the transition method. Downtime-optimized transition is a method that reduces overall downtime by processing some data transition tasks while the system is running; Samsung Electro-Mechanics stated that by applying this, it reduced downtime by more than 75% compared to expectations. Given that transition time itself is directly linked to costs for systems connected to production lines, this figure highlights the nature of the project.

The scope of implementation was not limited to system replacement. The company adopted a strategy of first integrating and standardizing core processes such as finance, purchasing, production, and logistics, and then applying them simultaneously across all subsidiaries. This approach is interpreted as an attempt to reduce the scale and risk of the transition by establishing a common system first, rather than repeatedly rebuilding each individual subsidiary.

SAP's generative AI copilot 'Joule' was also utilized in the project execution process. Samsung Electro-Mechanics also presented a direction to expand data-driven decision-making and business automation environments through this transition. Ultimately, this implementation can be viewed as a restructuring of the data foundation necessary for manufacturing companies to integrate AI into actual business operations, alongside ERP modernization.