Gomumari Launches Master Migration for SAP S/4HANA

Gomumari Co., Ltd. has announced the launch of its service named "Master Migration for SAP S/4HANA," starting from October 24, 2026. This service is designed to assist companies in preparing their item and parts master data ahead of the transition from SAP ERP 6.0 to SAP S/4HANA, particularly in light of the impending end of standard maintenance for SAP ERP 6.0 at the end of 2027. The service aims to address issues such as duplicated parts and misclassified dimensions that may arise during the migration process.

The service facilitates the normalization of item names and identifies potential duplicates using artificial intelligence, while human oversight ensures the accuracy of rules and decisions regarding data consolidation. Companies can submit their existing master data, which Gomumari will process to standardize item names and separate relevant details like material, dimensions, and manufacturer part numbers into distinct columns.

Pricing for the service begins at 500,000 yen, with an estimated delivery time of two weeks. Following the migration, new items can also be normalized under the same rules through an ongoing AI agent subscription service. This structured approach is intended to minimize discrepancies and streamline the data migration process, ultimately preparing businesses for the transition to SAP S/4HANA more efficiently.

Gomumari emphasizes the importance of establishing a unified set of naming conventions and standards to prevent confusion during the migration process. The company’s representative stated that consistent rules would help avoid legacy issues from previous systems, ensuring that the migration results in a cleaner and more organized master data set.

In addition to the master migration service, Gomumari offers a spot service for master cleansing, which assists companies in maintaining their item and parts master data continuously, regardless of their migration timelines. This comprehensive approach to data management aims to enhance operational efficiencies and reduce manual errors during the migration process. The company has positioned itself as a leader in AI-based business process outsourcing, focusing on data analysis, verification, and organization.

Reported by ASCII.