Coupled with rapid electrification in the transport sector, Al can help reduce costs and increase efficiency. Greenplan, a DHL Express-funded start-up in Germany, driven also results in lower emissions. Another use case is in road freight planning, to cut around 5% of road freight emissions. On the human side, Al can offer feedback to optimise driving behaviour. Such nudges to adjust acceleration and braking patterns can reduce fuel use by 2-10%. Al can also greatly reduce energy use and costs by facilitating predictive maintenance. Al models are trained on various datasets including real-time traffic congestion, maintenance scheduling and cabin conditions. Companies such as Uber and logistics businesses. Uber Freight, for example, uses Al algorithms for route optimisation, which helps minimise the miles driven by empty trucks by 10-15%. This not only improves operational performance, but also enhances fuel efficiency, which ultimately leads to lower carbon emissions.