How can a traditional, retail-first brand learn to think like a disruptor? You’ve probably seen quip’s billboards, but you haven’t heard the story of how this dominant direct-to-consumer oral healthcare brand successfully launched into thousands of retail stores like Target and Walmart. They risked losing the direct connection to consumers and the supply chain visibility they had relied on — but succeeded because of a data-driven approach powered by Alloy. Join Imran Patel, VP of Business Development & Partnerships at quip, and hosts Scott Luton and Greg White of Supply Chain Now to learn: – How quip scaled up into big box retail while retaining its DTC roots – Strategies that retail-first brands can take from quip’s omnichannel evolution – How quip’s data-driven DNA and nimble org structure helped maintain transparency collaboration and alignment between marketing, sales and supply chain team

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.