ENEOS Materials Accelerates Manufacturing Productivity with ChatGPT Enterprise

OpenAI
OpenAIOct 29, 2025

Why It Matters

ChatGPT Enterprise slashes research and reporting time, helping ENEOS Materials overcome labor constraints and boost manufacturing efficiency, a shift that could redefine productivity standards across the Japanese manufacturing industry.

Summary

ENEOS Materials, a core subsidiary of Japan’s NOS Group that manufactures high‑performance synthetic rubber and other advanced materials, announced the deployment of ChatGPT Enterprise across its operations to accelerate manufacturing productivity. The move reflects a broader industry push to harness generative AI as a new “infrastructure” that can multiply output, especially amid a tightening labor market.

The company highlighted several concrete gains: AI‑driven deep‑research replaces costly external consulting firms, delivering detailed answers in real time during meetings. Report‑generation that previously took about an hour now finishes in roughly 20 seconds, and engineers can prompt the model to run Python‑based simulations and automatically render results as clear graphs. Over 90 % of active users in the pilot department report measurable efficiency improvements, prompting a company‑wide rollout.

Executives emphasized the transformational feel, noting, “We can now ask pinpoint questions and get results that exceed what we received from research firms,” and “ChatGPT has become a partner for each employee, turning AI into a conversational interface for the production line.” The rapid adoption curve—employees moving from initial hesitation to regular use within days—underscores the tool’s low barrier to entry and high perceived value.

For ENEOS Materials, the AI integration promises not only faster decision‑making and reduced reliance on scarce human expertise, but also a scalable model that could be replicated across Japan’s manufacturing sector. By embedding generative AI into daily workflows, the firm aims to strengthen its competitive edge, mitigate labor shortages, and set a precedent for AI‑augmented production processes worldwide.

Original Description

As one of Japan’s earliest adopters of ChatGPT Enterprise, ENEOS Materials built 1,000+ custom GPTs, achieved 90%+ weekly usage, and saw over 80% of employees report significant workflow gains. These capabilities now speed complex investigations, enhance training effectiveness with data-driven insights, and improve engineering safety and design quality across plants.

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