Tarik Hammadou

Global supply chains are undergoing a structural shift. On one side, the digital supply-chain stack is evolving - where network design, scenario planning, and stochastic optimization are now enhanced by large models, reinforcement learning, and accelerated solvers. Enterprises are moving beyond static planning toward continuous, adaptive decision engines that simulate uncertainty, recommend actions, and optimize execution across global networks.

On the other side, the rise of physical AI - robotics, autonomous handling systems, and high-fidelity digital twins - is transforming warehouses and fulfillment centers. Robotics systems are increasingly powered by simulation-trained intelligence, sensor fusion, and closed-loop control, bringing real-world autonomy to the factory and distribution floor.

The future of resilient supply chains emerges when these two worlds connect. AI-driven network design informs real-time execution; digital twins link strategy to the physical world; and agentic systems orchestrate forecasting, planning, and robotic automation seamlessly.

This panel convenes leaders from PepsiCo, SuperMicro, NVIDIA, and Kinetic Vision to explore how LLMs, RL, OR, and physical simulation are converging to build a unified decision and operations stack that enables supply chains to plan intelligently, adapt automatically, and execute autonomously - from global network flows to the motion of a single robot arm.