Peak season planning would be easy if everyone agreed on what was coming. They don’t. Shippers are telling us one thing. AI forecasting models are predicting another. Industry researchers are seeing signals that don’t always match either perspective. So what should logistics leaders actually prepare for? In this webinar, we’ll bring together three unique perspectives on Peak 2026: findings from our recent survey of industry professionals (hot off the presses!), the latest industry research, as well as forecasts from leading AI models. You’ll learn: -What shippers are most concerned about heading into Peak 2026 -Which risks have grown since last year -Where AI forecasts and human expectations diverge -The trends researchers believe deserve more attention -How to build a peak season strategy that works for you Peak 2026 is coming whether the forecasts agree or not. Join us to explore where your peers, industry researchers, and AI forecasts align, where they differ, and what it means for your Peak 2026 planning.

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.