- Analytics & Modeling - Predictive Analytics
- Functional Applications - Computerized Maintenance Management Systems (CMMS)
- Business Operation
- Predictive Maintenance
- Software Design & Engineering Services
With an abundance of sensor data but insufficient skilled resources to perform manual analysis, Nissan was keen to expand the benefits of using data and machine learning to influence maintenance. In 2016, it decided to embark on a Predictive Maintenance program to reduce production downtime by up to 50% across thousands of diverse machines.
It was attracted to Senseye by its deep domain experience and ability to scale across its sites, underpinned by its patented Artificial Intelligence technology.
Nissan manufactures vehicles in 20 countries and areas around the world, including Japan, the USA, Russia, and the UK. Its global vehicle production volume exceeded 4.7 million in 2020, with products and services provided in more than 190 countries.
For more than 5 years, with support from Senseye’s industry experts. Nissan has expanded its predictive maintenance capability across their global production sites where models such as the Qashqai, X-Trail, Leaf, and Rogue are produced.
Over time, Nissan has become autonomous in its adoption and scaling of its predictive maintenance journey. Together with Senseye PdM Omniverse to upskill their users, Nissan engineers can now onboard new machines and integrate with other enterprise software independent of Senseye.
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