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In healthcare, machine-learning algorithms are delivering everything from improved early-disease detection to customised treatment plans designed for each patient's unique physiology. In finance, AI is helping identify suspicious transactions and enable faster, more accurate trading and risk assessment. In agriculture, security, retail, education, energy and even entertainment, the technology is being used to unlock previously untapped possibilities.\u003C/p\u003E\n\u003Cp\u003EThe story is no different in the transport and logistics game. Thanks to AI, fleet managers now have access to tools that are transforming the management of vehicles and helping to deliver better outcomes across the board.\u003C/p\u003E\n\u003Ch3\u003E\u003Cb\u003ETelematics systems: enhancing fleet management\u003Cbr\u003E\n\u003C/b\u003E\u003C/h3\u003E\n\u003Cp\u003EFleet telematics systems – which track a vehicle via GPS while allowing the capturing and transmission of a range of data from the vehicle – have been giving fleet managers access to an ever more sophisticated array of information about their fleets since the 1990s, helping them make better-informed decisions about everything from routing and workflow scheduling to order management and maintenance.\u003Cb\u003E\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003EToday, the best fleet-telematics systems harness AI-powered software to not only track and analyse more data than a human ever could – from engine diagnostics, run time and fuel usage to idle time, driver hours, dangerous-driving events and much, much more – but report on that data in a digestible, user-friendly way. They can recognise hidden patterns in data and provide insights, recommendations and predictions.\u003C/p\u003E\n\u003Cp\u003EThe potential efficiency gains of this technology should make any fleet manager sit up and take notice. Verizon, a leader in connected mobility platforms for industries that manage vehicles and equipment, predicts AI could add US$13 trillion to global economic output by 2030.\u003C/p\u003E\n\u003Ch3\u003E\u003Cb\u003EAdiona Tech's FlexOps platform\u003Cbr\u003E\n\u003C/b\u003E\u003C/h3\u003E\n\u003Cp\u003EIn the here and now, NSW-based start-up Adiona Tech is already transforming the profitability of local fleets with its AI-based 'FlexOps' route-optimisation platform. Originally developed to optimise delivery routes for Coca-Cola Europacific, the start-up's technology now helps a range of small and large fleets around the country set the best paths for their drivers.\u003C/p\u003E\n\u003Cp\u003E\u003Cb\u003E\u003C/b\u003EOne client, courier company Home Delivery Services, has improved its delivery-in-full, on-time (DIFOT) rate to 99.5%, cut planning time by 80% and saved more than 3000 litres of fuel since switching to the platform. While water-delivery firm Neverfail has reported a 48% reduction in average delivery-drive times, a 36% reduction in average distance travelled by drivers and an 11% reduction in the overall cost per unit delivered since making the change.\u003C/p\u003E\n\u003Cp\u003EFlexOps includes specific algorithms for electric vehicles (EVs) to help companies already using EVs or wishing to make the most efficient transition to the technology. 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