Recent disruptions have exposed the single points of failures within our supply chains, and major nations across the globe are now contemplating or pushing towards ‘sovereignty’ of their supply chains. ‘Made in America’ is one such initiative for the White House with an eye toward building American Supply Chain Resilience. Similar initiatives are in play by EU, India, and other governments Join Supply Chain Insights’ Lora Cecere, Supply Chain Now’s Scott Luton, and Coupa’s Madhav Durbha in this highly thought-provoking session, exploring ideas such as: -What a “sovereign” or “Made in America” supply chain looks like -Forces that are driving the government and organizations towards sovereign supply chains -Implications for your supply chain -How to prepare

Demand planning is one of the most challenging yet critical aspects of running a modern supply chain. At its core, it’s about bringing together the right mix of data, workflows, and intuition to answer deceptively simple questions: What do we need? When do we need it? And how do we make it happen? In this webinar, hosts Scott Luton and Marty Parker, along with Wiley Jones, CEO of Doss, will unpack the foundational elements of demand planning—what works, what doesn’t, and how Doss helps tackle the inherent complexity. We’ll focus on breaking down key components like data modeling, demand variability, and aligning forecasts with operational realities. The session isn’t about selling a silver bullet solution; it’s about understanding the building blocks that make demand planning possible and how Doss enables teams to build on them effectively. If you’ve ever struggled to balance inventory levels, deal with forecast inaccuracies, or align procurement with production timelines, you won’t want to miss this session. Key Takeaways: The essential building blocks of effective demand planning: data, process, and adaptability. How to model demand variability without overcomplicating the process. Real-world examples of how teams use Doss to simplify demand planning while staying adaptive to change.