Many large enterprise supply chain systems were originally built as traditional ERP environments that handled transactions well, but were not designed for the level of scalability, visibility, and operational intelligence businesses now expect. As organizations continue modernizing their platforms, cloud-native architectures and AI capabilities are becoming an important part of that transition.

In this session, I will share practical experiences from enterprise ERP and supply chain transformation programs involving manufacturing, logistics, and pharmaceutical operations. The discussion will focus on how organizations are using cloud-native approaches to improve integrations, operational visibility, system flexibility, and reliability across distributed business environments.

I will also discuss some of the challenges teams face while introducing AI into operational systems, especially around governance, explainability, compliance requirements, and integration with existing enterprise platforms. The goal of this session is to provide a practical perspective on how cloud-native technologies and AI are being applied in real enterprise supply chain environments rather than just theoretical use cases.