Dipalli Bhatt

For years, manufacturers viewed track and trace primarily as a compliance initiative. The goal was straightforward: meet regulatory requirements, maintain records, and support product recalls when necessary. Today, that mindset is changing. Manufacturers are facing a very different operating environment—one shaped by supply chain disruption, counterfeit products, evolving regulations, sustainability commitments, and rising customer expectations for transparency.

At IoT Tech Expo North America in San Jose, one message became increasingly clear: the enterprise IoT conversation is evolving beyond connectivity and dashboards. The industry is entering a new phase, one where IoT is becoming the operational foundation for AI, digital twins, autonomous decision-making, and intelligent supply chains. For years, enterprise IoT initiatives were largely framed around visibility: track the asset, monitor the machine, detect the anomaly, and display the dashboard.

End-to-end supply chain traceability has moved from a niche capability to a board-level priority. Global supply chains are more distributed, more regulated, and more exposed to disruption than ever—yet customer expectations keep rising. The result is a simple but demanding question: How do you create supply chain visibility that is actionable, credible, and scalable—without drowning in data or over-investing in the wrong places?