ENEOS Materials brings ChatGPT Enterprise to manufacturing

ENEOS Materials was established in 2022 as a core entity within the ENEOS Group, dedicated to its materials business. The company develops, manufactures, and sells a wide range of products, including rubber used in automotive tires and golf balls, industrial rubber products, binder for lithium-ion batteries, and advanced next-generation materials.

Recognizing the need to boost productivity amid labor shortages and rising costs, and to use AI securely and accurately with proprietary information, ENEOS Materials was among the first companies in Japan to adopt ChatGPT Enterprise and has since expanded its use to all employees.

The impact of this adoption can be seen in the following results:

• 80% of employees reported significant improvements in their workflows during their pilot phase

• 90% reduction in data aggregation and analysis time for the HR department

• Investigations reduced from months to minutes with deep research capabilities within ChatGPT

A cross-functional team partnered with OpenAI to implement ChatGPT Enterprise, leading to impactful use cases across multiple departments.

Empowering manufacturing productivity through secure AI adoption

In Japan, the manufacturing industry faces challenges such as labor shortages due to the declining birthrate and aging population, as well as rising raw material and energy costs. ENEOS Materials is no exception. Yoshirou Sakura, Manager at the Production Technology Department, notes, "Using digital tools to boost productivity is essential as our workforce shrinks. Improving efficiency and broadening what employees can handle is key to staying competitive."

Bridging language and expertise gaps with deep research

"Deep research lets us overcome language barriers," says Kenichi Sakemi of the Process Development and Engineering Department at ENEOS Materials, which operates a plant in Hungary. "What once took months, scouring Hungarian sources, now takes tens of minutes because Deep Research can comprehensively search local materials."