Whether it’s miscommunicated demand signals or misaligned data, the supplier-buyer disconnect continues to drag down efficiency for both parties. But it doesn’t have to be that way. Join our webinar as Erick Wilk from Wurth Industry and Jim Braun and Paul Noble from Verusen discuss new ways to bridge the gap so suppliers and buyers can work together to streamline purchases, eliminate tail spend, and reduce waste across their networks. We’ll discuss topics such as: -Achieving more efficient and improved collaboration between suppliers and buyers -Fixing the buyer-supplier disconnect with materials visibility and availability -Accelerating the matching accuracy and response time of RFQ processes -Achieving lower Total Cost of Ownership

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.