It has also progressively used data analytics and more recent innovations in AI to make that original service more efficient. The US took formal signal degradation off GPS in 2000, making civilian tracking much more accurate.īT is an interesting example because it is also in the process of transitioning one of the UK’s largest fleets – 30,000 or so vehicles for a workforce of about 30,000 field operatives – and already has the data around some of the key questions that need answering because of earlier work it has done on optimising how it schedules appointments.
And that tracking has been going on for a good many years. They already track deliveries or usage or, in the case of BT, the UK’s largest telecoms company, maintenance. When considering those elements, bigger companies have an inherent advantage. To do that companies are turning to artificial intelligence (AI) to best model their rollouts. There are a lot of infrastructure elements that need to be brought together. However, achieving an efficient ICE-to-EV transition is no simple task. “This next stage of roll-out is a positive step towards achieving net-zero emissions by 2050,” says Richard Crook, director of Fleet at DHL Express. They now service more than 30 towns and cities including London, Birmingham, Manchester, Glasgow, Leeds, Liverpool and Bristol. In the UK, it had grown its fleet of electric Transit vans to 270 by March, having added the first 50 in 2021. Courier DHL aims to have more than 80,000 in its global fleet by 2030. Amazon is also investing in renewable energy to partly power its fleet and wider activities as it transitions. Amazon and Hertz have placed orders for 100,000 EVs in the US to replace ICEs in, respectively, their delivery and rental fleets. Switching large commercial fleets from internal-combustion engines (ICEs) to electric vehicles (EVs) could cut the total cost of ownership by between 15 and 25 per cent, according to an estimate by McKinsey and Company.īig owners are already getting on board, also with an eye on net-zero targets.
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