Transcript
Mary Rollman: Welcome to the KPMG Supply Chain podcast. My name is Mary Rollman, and I lead the supply chain practice at KPMG. Today you will meet two KPMG leaders that spend time every day talking about a topic that can take on a lot of different paths including analytics, AI, GenAI, Digital. I'm joined with Stephanie David and Jim Lee from our supply chain strategy and analytics team. Stephanie and Jim, do you want to introduce yourselves before we jump into the questions?
Stephanie David: Thanks Mary. It's nice to be back again to talk about another interesting topic, and one that, in fact, has been keeping us quite busy lately. So I'm Stephanie, David. I'm one of the partners in our supply chain group here at KPMG and I lead our supply chain strategy and analytics practice.
Jim Lee: And I am Jim Lee. I lead our AI and digital capability for supply chain.
Mary Rollman: So we're here to talk about a topic like I mentioned, that has a lot of different personas depending on who you're talking to. How should a supply chain leader actually be thinking about this next generation of potential productivity opportunities for supply chain? How can they use AI, analytics or digital in order to get to that productivity that they want to get to? Stephanie as I know you've been engaging with a number of supply chain executives on this topic, what does the agenda look like for these supply chain leaders?
Stephanie David: So Mary, if you remember in our previous podcast, I talked about how the advances in emerging technology will continue to revolutionize the future of supply chains, offering unprecedented opportunities that can enable capabilities for optimization, efficiency, visibility, and innovation. Opportunities that we never thought were possible before. So when it comes to how supply chain leaders think about the next generation techniques for a more productive supply chain we now get into the realm of leveraging analytics, artificial intelligence and machine learning and as we have been witnessing and hearing lately, Gen AI. I'd say that the most common requests we get goes something like this. Hey KPMG, can you help me understand how to think about Gen AI use cases so that I can transform our supply chain? And see what we have come to realize is that within these type of requests actually lies the real question they seem to be asking.
