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.

Transporting perishable goods, whether its medicine or produce, is no easy task and requires intense planning. Supply chain and logistics professionals have employed a number of solutions over the past years to ‘get more visibility’ to what is happening and avoid issues. Yet, even with devices frequently transmitting temperature & location in real time, cold chains around the world still suffer from product loss and products arriving with less shelf life than expected. Join Supply Chain Now host Scott Luton, along with Ilya Preston and Brian Shultz with PAXAFE and dive into the reasons why visibility falls short and discover: Why “getting more visibility” isn’t the only solution—many cold chain operations are sitting on valuable data with hidden insights ready to be uncovered. The challenges of handling vast new data streams, including the costs, staffing needs, and limits of human-based monitoring for scaling insights. How managed logistics data can speed decision-making, cut costs, and provide a competitive edge by transforming sensor data into actionable insights. The power of data-driven decisions across domains and how teams leveraging AI can confidently respond to leadership with consistent, fact-based insights.