Artificial Intelligence (AI) will be required to help the fleet industry meet its net zero targets, according to automotive tech firm Digital INNK.

AI is expected to support the increasing efficiency of fleet management across various functions. It can use data to proactively manage operations ranging from battery management and tyre wear to customer service.

Big data analytics are already in use to reduce carbon emissions through better route planning and this is set to improve with the implementation of AI.

The transition to a decarbonised fleet will generate new workflows that will require AI to manage increasingly complex systems. For instance, dwell periods may lengthen due to the need for recharging, which may impact scheduling and the allotted number of on-duty hours.

Angela Montacute, CEO of Digital INNK, said: “Transport is the largest emitting sector of GHG emissions, producing 24% of the UK's total emissions in 2020. Fleets have repeatedly demonstrated they are at the forefront of driving reductions; however, fleet companies must embrace artificial intelligence to meet net-zero targets.

“AI is especially helpful for data analysis and forecast. AI can assist fleet managers in identifying patterns, trends, and possible issues before they turn into bigger issues by analysing enormous amounts of historical data on vehicle utilisation, maintenance, and fuel consumption. It will enable companies to proactively maintain their fleets, cut downtime, and increase vehicle longevity.”

The wider benefits will be felt across the industry with AI and chatbots able to manage customer service functions around the clock.

Digital INNK is already trialling AI across its ViSN platform. Users can already book SMR actions through an app and have the work approved and authorised, utilising advanced algorithms and machine learning, which will also find the nearest and most appropriate service centre.