As a result of this project, ADAMS data maintenance and data integration into 15 different use cases within domestic SCM were achieved. These efforts have not only produced individual benefits but have also contributed to the realization of a rolling forecast, helping to maximize profits across business units. In addition, data that were previously locally optimized in silos by each business unit have now been integrated into ADAMS, driving business transformation.
“There is a use case that I developed with my co-workers to streamline sales operations. Traditionally, sales representatives used Excel to make sales forecasts for the next month based on POS data. This was burdensome because of the huge number of products. However, as a result of the integration into ADAMS, the sales team’s workload has been reduced, allowing them to use the freed-up time for more valuable activities, such as generating new ideas. They are grateful for this change,” says Mr. Onozuka, reflecting on the project’s success.
Furthermore, cross-sectional initiatives utilizing ADAMS have begun to take shape from the ground up. Employees at the Kyushu Plant, after learning about ADAMS, began using it in the belief that production planning could be made more efficient through data linkage with other plants.
“The number of new ideas we receive daily from employees who use ADAMS is steadily increasing. Recently, we have received numerous inquiries from within the company and from Group companies. We are seeing that ADAMS initiatives are expanding beyond our initial expectations. It is very gratifying to see that our initiatives to date are steadily creating value at workplaces and starting to have an impact on more departments and teams,” says Mr. Kumamoto.
The use of ADAMS at Ajinomoto is accelerating. Recently, the company developed a chatbot utilizing generative AI to help employees unfamiliar with data utilization, promoting the adoption of data-driven practices. Starting with the domestic SCM initiative, Ajinomoto plans to expand the scope to include customers, R&D, collaboration with external parties, and global data management, aiming for further business transformation through data utilization across the Group.