The use of telematics data and AI can enable fleet managers to make informed decisions, predict component failures, and optimise maintenance schedules.  

The conversation at the September Fleet200 Strategy Network also touched on the challenges of integrating AI with existing systems, the importance of accurate data, and the need for cultural shifts in fleet management to embrace predictive maintenance.  

A case study showed a 95% probability of a vehicle’s component failure, leading to proactive maintenance and cost savings.  

Those fleet decision-makers and suppliers taking part in the debate also saw a potential for AI to inform future buying decisions and the strategic value for fleet management. 

The discussion focused on the successful application of predictive analytics and machine learning in fleet management, highlighting significant cost and downtime reductions. 

 

 

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