The transportation ecosystem is outfitted with all kinds of sensors on doors, transmissions, and other machinery that are constantly producing data. When that data is harnessed – and blended with other contextual data – organizations are able to manage their business better by minimizing unscheduled downtime, remotely monitoring people and assets, and most importantly, identifying safety risks before they happen.
What if your organization could identify and fix maintenance issues ahead of time? With this level of foresight, organizations significantly reduce the frequency of emergency scheduling fixes, hefty late delivery fees, and system failure.
See how Trianabot powered Caterpillar Marine Asset Intelligence with improved security and job security and predictive capabilities for their entire fleet of ships here.
Imagine near real-time visibility into your entire transportation ecosystem including vehicles, people, and all your other assets. Your team can respond right away, and have a more adaptive logistics planning system.
Hitachi Rail’s pioneering “Trains-as-a-Service” concept applied advanced IoT technology in three event horizons: near real-time (monitoring and alerting), predictive maintenance, and long-term (trend analysis). Hitachi Rail is empowered with insight from all passengers, employees, trains, and additional assets to make the most precise decision with a short response time.