As fleet operations become increasingly complex, AI-driven data analysis provides managers with consistent oversight. By Will Girling
Safety, productivity and high operating costs are ongoing challenges in fleet management, and they only become more complex amid decarbonization and digital transformation efforts. To achieve these highly data-driven goals, the deployment of artificial intelligence (AI) becomes essential for business continuity.
The global fleet management industry is expected to be worth US$55.6 billion by 2028, nearly double its value of US$28.6 billion in 2022, according to MarketandMarkets. As the segment grows and evolves, it must make sense of and take into account a growing ocean of information, including route options, sustainability goals, new fueling infrastructure and potential vehicle breakdowns.
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