Toyota Industries Innovates its Paint Shop Processes with Sight Machine and Microsoft Azure

Toyota Industries operates at enormous scale and holds manufacturing excellence as a core identity. Toyota aimed to increase paint quality at its Nagakusa Plant, where experienced paint specialists were becoming harder to scale, sustainability demands were rising, and teams were spending weeks manually correlating hundreds of data points.

For Toyota Industries leadership, it was clear that incremental analytics improvements would not deliver the step‑change required.

“We needed a fundamentally different approach—one that could connect operational shop-floor data, add operational context, and turn insights into action and decision-making quickly for our frontline teams and executives”

Yoshihisa Watanabe, GM of Automotive Division, Digital Transformation Office at Toyota Industries

Working together, Toyota Industries, Sight Machine and Microsoft built a semantic layer on Sight Machine’s industrial AI platform that unifies factory data and gives frontline teams near real-time visibility into what was actually driving defects.

Key results:

• 25% reduction in seeding-related defects
• Analysis cut from 5 days to under 4 hours
• 4x more opportunities to resolve defects
• Daily standup prep time down 80%
• Expected 18% reduction in CO₂ emissions during winter painting months

“By partnering with Microsoft and Sight Machine, we can focus on manufacturing excellence instead of spending years building data platforms internally”

Yoshihisa Watanabe, Toyota Industries

Read the full story on Microsoft’s site