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Stratio Announces a Global Framework Agreement with Keolis to Implement Predictive Maintenance and Remote Diagnostics

Stratio, the leading predictive fleet maintenance platform, and Keolis, a world leader in shared mobility, announces 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.

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“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,” declared Pierre Gosset, Industrial Division Director, Keolis Group.

“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,” said Rui Sales, co-founder and President of Stratio. “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,” Rui added.

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[To share your insights with us, please write to sghosh@martechseries.com]

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