AI in TMS matters only when it is embedded in the transport decision process

Source attribution: article by Marcel te Lindert for Supply Chain Movement. Martijn Lofvers moderated the underlying discussion; he is not presented here as the article’s author. This Radar entry curates and interprets the original work and does not imply any partnership, sponsorship or endorsement. Transport management is a natural environment for AI because dispatchers and planners continuously evaluate changing combinations of orders, capacity, routes, rates, service constraints and disruptions. That does not mean every AI feature materially changes transport performance. The useful distinction is between AI that sits beside the TMS and AI that is embedded in a transport process. A conversational interface may make information easier to retrieve. A more consequential capability changes how loads are consolidated, carriers selected, exceptions prioritized or corrective actions proposed. That deeper role raises a dependency on operational data. Recommendations are only as useful as the shipment, carrier, rate, capacity and status information available at the moment of decision. The AI also needs a defined action boundary: when may it recommend, when may it automatically execute and when must a transport planner intervene? Human decision support therefore remains important, particularly for exceptions where contractual, customer or operational context is not completely represented in the TMS. The relevant measure is not how frequently users interact with AI, but whether transport outcomes improve without creating unacceptable execution risk. Dataleo interpretation: in TMS, AI earns its place when it changes the transport decision, not merely how users query the system. Value depends on being embedded in a reliable operational workflow with enough data to evaluate consequences. The main failure mode is confident automation based on incomplete shipment or business context, especially when a recommendation immediately triggers physical execution.