Intelligent control and synchronization of chaotic supply chain are applied. Artificial neural networks based controllers are used for the control. Adaptive neuro-fuzzy inference system based controllers are used for synchronization. Linear feedback and active control signals are also used. Computer simulations show that the proposed approach is very effective.