ERP systems have long been the operational backbone of supply chain teams — but the gap between what ERP delivers and what today’s businesses actually need is widening. Spreadsheets, manual forecasting, and static reports have quietly become the norm, even at organizations with mature ERP investments. So what does it really take to modernize supply chain operations without ripping out the systems you’ve already built around?
In this episode of the Data Insights Podcast, host Ganesh Gandhieswaran, CEO of ConverSight, sits down with Eric Sluss, CIO at Net at Work, for a candid conversation about where ERP stops, where workarounds start, and how AI is reshaping supply chain decision-making — from demand forecasting and inventory optimization to procurement and production planning.
Drawing on his work with customers across industries, Eric unpacks why companies are choosing to extend their ERPs with operational AI rather than replace them, and what that shift means for CIOs, ops leaders, and supply chain teams under pressure to move faster with less complexity. Together, Ganesh and Eric land on the practical question every leader is wrestling with right now: when is ERP enough, and when do you need more sitting on top of it?
💬 Why Listen?
If your supply chain team is patching ERP gaps with spreadsheets and gut-feel forecasts, this episode offers a clear, vendor-agnostic playbook for layering AI on top of the systems you already own — with real use cases, ROI signals, and CIO-tested advice.
