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Case Study: Noritz cuts data-review effort 70% with DataRobot predictive and generative AI

Noritz Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Noritz
Industry
Manufacturing
Challenge
Close skill gaps between field engineers to speed support resolution.
Headline result
70% reduction in the effort needed to review and process data, enabling faster model delivery

Key results

70%
reduction in effort to review and process data
via generative AI

The challenge

At Noritz, a major Japanese manufacturer of residential water heaters, ineffective knowledge sharing between engineers with different levels of expertise extended resolution times and lowered customer satisfaction. Quality assurance and field engineering teams needed to standardize diagnostics across skill levels.

The solution

Noritz built a Diagnostics AI Assistant on DataRobot that uses predictive and generative AI to standardize field-engineer data entry, automatically classify breakdown cases, and recommend resolutions matched to identified breakdown patterns.

The results, in context

Generative AI reduced the effort needed to review and process data by 70%, letting the Noritz AI team deliver new models faster. The quality control and field engineering divisions increased support quality and operational efficiency.

Products used

DataRobot DataRobot AI PlatformDataRobot Predictive AIDataRobot Generative AI