Nissan manufactures vehicles in 20 countries and areas around the world, including Japan, 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.
With an abundance of sensor data but insufficient skilled resources to perform manual analysis, Nissan were keen to expand the benefits of using data and machine learning to influence maintenance.
Download our case study to learn:
- Why Nissan chose to work with Senseye to reduce production downtime by up to 50%
- How Senseye is providing Predictive Maintenance capability across multiple production sites
- The benefits that Nissan has gained as a result of using Senseye