How intelligent routing is changing mobility and logistics
Artificial intelligence is now a structural component of contemporary logistics.
In particular, AI-based routing has transformed from simple operational support to a true decision-making system, capable of directly affecting costs, delivery times, and service quality.
The most advanced companies use algorithms that continuously process traffic, weather conditions, delivery density, driver availability, and vehicle constraints, translating increasing complexity into more consistent and efficient operational choices.
This approach reduces daily uncertainties and allows for more precise management of increasingly complex logistics networks.
The value of AI in routing lies above all in its ability to improve the predictability of operations and transform data into concrete, measurable, and repeatable decisions over time.
From large global networks to the last mile
On an industrial scale, UPS is one of the most mature examples of AI-based routing.
The ORION system processes hundreds of millions of data points every day to optimize routes in real time, helping to reduce distances traveled, fuel consumption, and emissions.
Amazon Logistics, on the other hand, adopts a highly integrated model, in which intelligent routing interacts with automated warehouses and robotic systems, adapting routes according to delivery density and local conditions. This allows for smoother last-mile management and greater service reliability.
FedEx focuses its use of AI on the complexity of international shipments, using dynamic optimization systems that take into account weather events, infrastructure disruptions, and recipient preferences, with the aim of making cross-border flows more predictable and reducing delays along the logistics chain.
Software, sustainability and access to innovation
Alongside large operators, AI-based routing is also redefining the role of technology providers and smaller companies.
Software solutions such as those developed by Descartes Systems Group enable thousands of companies to optimize routes without directly managing a fleet, offering simulation and planning tools that help them make more informed decisions.
Experiences such as HIVED show how AI can support zero-emission urban models, while solutions such as Hemut make intelligent routing accessible even to small and medium-sized fleets.
Cases like thispoint to a clear direction: AI-based routing is no longer an optional technological choice, but a central operational lever for improving competitiveness, resilience, and control of transportation networks.
Source: https://tlimagazine.com/news/the-8-most-innovative-logistics-companies-using-ai-routing-today/
