Predictive Maintenance for Critical Equipment

Hero image for Predictive Maintenance for Critical Equipment

Predictive Maintenance for Critical Equipment

Gelectric's predictive maintenance revolutionises waterway mobility by preemptively optimising vessel and infrastructure performance, ensuring efficient transportation of people and goods.

Supported by: EIT Urban Mobility

Product Details

Designed for

Mobility service providers

Logistics operators

Maturity

Commercialised

Challenge Area addressed

Mobility Energy

Gelectric's predictive maintenance solution, created for maritime use, extends to urban waterway mobility and logistics. 

With data analytics, IoT sensors, and machine learning, it preempts issues in vessels and infrastructure. 

Real-time monitoring and proactive actions prevent disruptions, ensuring efficient water-based transport for passengers and goods. 

Operators gain insights and alerts, enabling quick decisions, while customisation fits existing workflows. 

This boosts reliability, reduces downtime, and optimises asset use, benefiting transit agencies and logistics, ultimately enhancing urban waterway mobility.

Product image 1
Product image 1

Availability

Discover cities and markets where the product is available