ENEOS Materials has significantly boosted manufacturing productivity and operational efficiency by adopting ChatGPT Enterprise, which enhances information research, meeting effectiveness, and technical tasks like simulations and data visualization. With over 90% employee engagement in certain departments, the company envisions AI becoming a fundamental infrastructure in manufacturing, driving innovation and enabling more intuitive machine operations.
ENEOS Materials, a core company within the NOS Group specializing in the manufacturing and sales of high-performance materials such as synthetic rubber, is addressing common challenges faced by Japanese manufacturing industries, particularly labor shortages. To improve operational efficiency, the company is leveraging digital technologies, with a focus on expanding the scope of work that humans can perform by utilizing AI tools. This approach is seen as a crucial factor in strengthening their competitive edge.
A key element in enhancing operational success has been the establishment of an environment where company information can be securely and effectively handled. After evaluating various options, ENEOS Materials decided to adopt ChatGPT Enterprise, which met their internal standards for security and performance. Previously, the company relied on external research firms for information gathering, but now, with ChatGPT Enterprise’s deep research capabilities, they can obtain detailed answers instantly, often surpassing the results from external agencies.
The use of ChatGPT Enterprise has notably improved meeting efficiency. When unclear points arise during discussions, instead of interrupting the meeting, employees can perform deep research on the spot. This allows them to revisit the same agenda later in the meeting and reach conclusions more quickly, thereby streamlining workflows. Additionally, tasks such as analyzing training reports, which used to take about an hour, can now be completed in approximately 20 seconds. The AI provides outputs based on objective frameworks, contributing to significant improvements in planning future training sessions.
The company also utilizes ChatGPT Enterprise for technical tasks, including simulations and data visualization. For example, by inputting commands in Python, employees can run simulations and generate graphs that make complex data easier to understand and explain. This visual clarity enhances communication and decision-making processes within the company. The adoption rate among active users in certain departments has been very high, with over 90% engagement, prompting the company to expand the use of ChatGPT Enterprise across all divisions.
Overall, ChatGPT Enterprise has become a partner to each employee, helping to accelerate productivity and innovation. ENEOS Materials envisions a future where AI is integrated into various manufacturing processes, enabling machines to respond to human language and operate more intuitively. This vision reflects the company’s belief that AI will become as fundamental as electricity or computers, serving as essential infrastructure that, when harnessed effectively, can multiply outcomes and drive the manufacturing industry forward.