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Repolho & Rodrigues joins forces with Stratio to upgrade its Fleet

December 31, 2021

Reading Time: 2 minutes

Repolho & Rodrigues Fleet

 

ABOUT REPOLHO & RODRIGUES

Specializing in the transportation of goods in tanks, the company has established itself as a reliable partner of many industries by ensuring a quality, efficient and safe service. It transports all kinds of materials, chemicals, industrial waste, liquids or powders, with a fleet capable of providing any kind of tanker service throughout Europe.

 

STRATIO’S PROJECT WITH REPOLHO & RODRIGUES

The upgrading project started in 2020 with its entire fleet. The objectives were to implement an innovative maintenance solution to monitor the condition of the vehicles remotely. With the Stratio Platform, it’s possible to receive alerts of vehicle anomalies in real-time and prevent breakdowns on the road. Through geolocalization features, traffic managers gained greater visibility over the fleet, allowing them to increase driver productivity levels.

 

Repolho & Rodrigues logo

Jorge Nabais, Head of Maintenance at Repolho & Rodrigues, shared his views on the project with Stratio.

 

 

According to Jorge Nabais:

‘The transition we are making with Stratio is strategic. Once we have taken the step forward towards automation and the use of artificial intelligence, it does not seem possible to go back’.

 

 

The same responsible also states that:

‘For us, the partnership with Stratio aims to ensure that we are better equipped to deal with the tough times ahead, reducing corrective maintenance costs and vehicle downtime with optimised workshop work and improved driver performance. It is very complicated, if not impossible, to manage a cargo transport fleet without a solution like the Stratio Platform‘.

 

 

‘The transition we are making with Stratio is strategic. Once we have taken the step forward towards automation and the use of artificial intelligence, it does not seem possible to go back’.

 

 

The Stratio Platform provides insights into vehicle performance and the automation of the health of its components through Artificial Intelligence models for predictive maintenance.

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