Innovation

Artificial intelligence and corporate fleets: AI agents are set to revolutionise car maintenance

The Targa Telematics solution provides a smart, coordinated ecosystem designed to reduce downtime and operating costs

2' min read

Translated by AI
Versione italiana

2' min read

Translated by AI
Versione italiana

Targa Telematics introduces and utilises Agentic AI in fleet maintenance through Maintenance Excellence, a solution designed to simplify and optimise the entire operational cycle. The platform overcomes the fragmentation of information by linking data from telematics devices, manufacturers’ systems and external platforms, enabling real-time monitoring of vehicle status, the identification of anomalies and more effective planning of maintenance work.

 

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Data management is key to reducing fleet downtime

 

The growing complexity of maintenance now involves a wide network of stakeholders, including workshops, spare parts suppliers, logistics operators and bodies responsible for authorisation processes. In this context, value no longer derives solely from the correct execution of the technical work, but from the ability to coordinate information and activities throughout the entire supply chain.

According to the “Nlt Workers” study conducted by the Fleet&Mobility Research Centre and sponsored by Targa Telematics and Escargo, 69 per cent of operators believe that integrated vehicle data management can improve the accuracy of information on technical downtime. Sixty-six per cent regard the smart coordination of information as a practical tool for reducing downtime, whilst 64 per cent identify the integration and processing of data using Artificial Intelligence as the key factor in creating value within the maintenance process.

 

Maintenance Excellence automates processes and anticipates potential issues

 

Through its Agentic AI-based approach, Maintenance Excellence enables maintenance to be transformed from a sequence of separate tasks into a coordinated and predictive workflow. The solution analyses available data to identify early signs of wear or anomalies, support the scheduling of maintenance work, assign tasks and authorisations to the relevant operators, and monitor the performance of the entire system.

Artificial intelligence also makes it possible to automate repetitive tasks such as managing appointments, initiating workflows, prioritising operational tasks and carrying out administrative checks. According to Targa Telematics’ internal analysis, the use of AI in maintenance can help reduce maintenance costs by up to 30 per cent and fleet downtime by up to 13 per cent.

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