Mapping and navigation provider HERE Technologies has introduced new capabilities to its HERE Tour Planning solution, targeting transport and logistics companies transitioning to electric vehicles for last-mile delivery. The enhancements combine artificial intelligence with EV-focused route optimisation to address operational challenges such as congestion, tight delivery windows, and workforce shortages.
The updated platform includes an “EV Planning” function designed to improve route efficiency for electric fleets. According to the company, internal testing shows the feature can deliver up to 20% better planning and routing for electric vehicles. The system evaluates each vehicle’s operating characteristics, including battery range behaviour and technical specifications that influence performance, while also factoring in access to private depot chargers or recommending suitable public charging points.
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HERE said its modelling approach estimates energy consumption more precisely than traditional methods. By using a “physical consumption model,” the tool aims to calculate real-world range more accurately, enabling delivery operators to improve estimated times of arrival by up to 15%. The system also integrates AI-based forecasts to adapt routes dynamically in response to traffic congestion, temporary road closures, or regulatory constraints.
Time-dependent restrictions—such as limited access to pedestrian zones or designated delivery windows—are incorporated into route calculations to help operators comply with local regulations while maintaining efficiency. These features are intended to help logistics providers manage increasingly complex urban delivery environments as fleets shift toward zero-emission vehicles.
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“Static route planning doesn’t reflect the reality fleets face today,” said Bart Coppelmans, Senior Director of Product Management at HERE Technologies. “With new variables emerging, increasing complexity and electric vehicles becoming part of daily operations, logistics providers need richer features that tailor optimization to their specific business metrics, KPIs and SLAs.”
