Physical AI and the Real Time Supply Chain

<p>AI has learned from the digital world. Physical AI brings real world data into the picture.</p><p><br></p><p>Doron Hazan, Director of Products and AI at Wiliot, joins The Tech Trek to explain how physical AI connects AI systems with objects, environments, and supply chains.</p><p><br></p><p>The challenge is not simply processing data. It is collecting accurate, current information from the physical world.</p><p><br></p><p>Doron explains how ambient IoT, sensors, statistical inference, and cloud systems can help companies understand where assets are, what condition they are in, and what may happen next.</p><p><br></p><p>The conversation also covers the role of human judgment. Supply chains require many decisions, often with consequences that spread across the system. That makes guardrails and human involvement especially important.</p><p><br></p><p>Key Takeaways</p><p><br></p><p>• Physical AI connects AI systems with data from the real world.</p><p>• Better supply chain visibility starts with accurate, current physical data.</p><p>• Real time decisions matter, but decision accuracy matters more.</p><p>• Human judgment remains important when AI affects physical operations.</p><p><br></p><p>Highlights</p><p><br></p><p>01:53 What separates physical AI from traditional AI</p><p>03:18 Why real world data collection changes the problem</p><p>07:19 Supply chain visibility and practical use cases</p><p>11:57 How quickly physical AI systems can make decisions</p><p>12:48 Why guardrails matter in supply chain automation</p><p>15:28 Robotics, distributed physical AI, and connected systems</p><p><br></p><p>Follow The Tech Trek for more conversations about AI, engineering, product, and technical leadership.</p>