AI Agents in Transport, Logistics and Mobility: Use Cases and Implementation

A local recovery can create a larger network failure

A vehicle failure, road closure or missed connection changes routes, driver hours, customer promises and depot capacity at once. A local fix can move the problem elsewhere in the network.

Use an agent to compare network-feasible plans

An agent could observe the disruption, retrieve network and capacity constraints, generate feasible recovery plans, obtain approval for material service changes and co-ordinate the selected plan across dispatch and customer communication. An agent may be useful when each route change alters driver hours, depot capacity, onward connections and remaining customer promises. It can generate and compare feasible plans, but it must not optimise one shipment by transferring congestion or safety risk to another part of the network.

A delayed container and an unsafe first option

A late inbound container threatens a customer promise, but the first available truck would breach a driver's legal hours and shift congestion to the next depot. The agent should present network-feasible options and retain the original service consequence. It must not optimise one shipment by creating an unsafe route.

Protect driver, safety and service authorities

The decision depends on orders, scans, vehicle position, capacity, route constraints, driver hours, service promises and exception outcomes. The recovery record should retain the verified disruption, vehicle and driver state, route constraints, protected priorities, approved cost and revised customer commitment. Safety, legal driving limits and dangerous-goods rules remain outside any optimisation trade-off.

Test disruptions that move constraints across the network

Replay missed slots, customs holds, vehicle failure, unavailable drivers and a recovery that overloads the next depot. Review infeasible plans, stale status, excess distance, unsafe proposals and promises issued before the selected route is accepted.

Release one corridor and exception type

Select one corridor and one exception type. Replay missed slots, customs holds and vehicle failure. Measure time to accountable recovery, promise accuracy, added kilometres, cost and repeat exception. Select one corridor and one exception class, then compare shadow plans with dispatcher decisions. Management should define the cost authority, protected services and conditions that require a human network planner.

Judge the agent by safe recovery and customer promise accuracy

Measure time to accountable recovery, on-time delivery, promise accuracy, added kilometres, cost and repeat exception. Examine network effects rather than counting a locally recovered shipment as success when the plan causes another missed commitment. Marketways connects Fleet and Logistics Optimisation with transport and mobility.

The assessment should follow the selected recovery through gate, departure and receiving events. It should also identify any shipment displaced by the new plan. This prevents the agent from reporting success after moving the original constraint to another customer or depot.