Stratio Works with Keolis Group to Implement Predictive Fleet Maintenance and Remote Diagnostics
Stratio, the predictive maintenance solution trusted by the world’s largest transport operators, and Keolis, a world leader in shared mobility, announce the signing of a global framework agreement to enable predictive maintenance and provide remote diagnostic technologies to Keolis’ networks. As part of the agreement, Keolis’ Group, which operates in 14 countries, may use the Stratio Platform and benefit from Predictive Fleet Maintenance and Remote Diagnostics for buses and coaches.
The Stratio Platform, which is powered by advanced, agnostic artificial intelligence and machine learning models, can monitor, analyze, and predict failures in real time, in vehicles of any type, brand, and model. This shift from preventive to predictive maintenance results in increased vehicle uptime and optimized depot operations, ultimately saving costs and improving the service offered to the public.
Pierre Gosset, Industrial Division Director, Keolis Group, declared:The Stratio solution, which is already deployed on several Keolis networks in France, allows maintenance staff to view and address vehicle failures. This eliminates costly downtime, enabling us to provide an even more reliable, efficient and safe service for passengers, while helping our operations staff to improve their eco-driving.
Rui Sales, co-founder and President of Stratio, said:Keolis’ commitment to innovating, automating, and digitizing their maintenance operations goes to show how much they value their own customers. We are pleased they chose Stratio to help them deliver on their objective of connecting people with opportunities and resources with a public transport service that is safe, reliable, and future-proof. Partnering on a global scale with one of the largest fleets in the world accelerates the realization of our goal of creating a zero downtime future that benefits everyone.
Find out more about how Keolis is leveraging predictive maintenance by accessing the case study here.
This article was originally published by Stratio.
