SCM Webinar Wednesday | How ChatGPT Changes All Rules of Supply Chain Planning | JDE | Garvis

Many people are fascinated by the capabilities of ChatGPT. It allows us to interact naturally with huge amounts of information and provides answers that are easily understood and readily applicable. It's the iPhone moment all over again. Now imagine the possibilities if we combine this ease of interaction of ChatGPT with AI-driven insights that represent the relationships between the outside world and the impact on your supply chain. All information, relationships, and strategies would become available the moment they happen, all just a question away.
Join this webinar with Martijn Lofvers as a moderator, Tineke Kok from JDE, and Piet Buyck from Garvis, who will take you on a journey of insight-driven AI for the Supply Chain. They will show real examples of how this approach will work. The journey starts with translating what is happening (customer behavior, market dynamics, and other events) and the insights of the knowledge worker into digital components and their relationships so that these can be understood by the organization. Once these components & their relationships are captured, every person in the organization can understand these as they happen through the interaction with a ChatGPT interface, which translates the information in the form and function that are needed at the moment of the question. This interaction will be a transformational change comparable to the invention of the iPhone. All information will be readily available, and no training will be needed to interact with the application. This is the closing piece of creating the digital enterprise, where the whole ecosystem becomes accessible and transparent, with an enhanced capability for interaction.
The slide deck is available for download here: bit.ly/49F0GCC
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As far as I understood from the explanation at around 1:00:00, real corporate planning data is exposed to chatgpt servers via prompts. This probably won't be working for many companies due to their data regulation. Have you considered pseudonymized/anonymized data or use a local language model instead (apaca)?