Multi-agent AI takes over supply chain execution

multi-agent ai systems are increasingly being used in supply chain execution, taking over the approval stage previously handled by human planners. this shift is driven by the limitations of static dashboards and the need for more dynamic decision-making. by automating approval, these systems enable faster and more efficient logistics operations. logistics directors are leading this change, seeking to improve supply chain performance. autonomous execution is becoming more prevalent.