Manufacturers understand the importance of precise data management to assure that sufficient materials are available in order to avoid costly production downtime. Still, many continue to rely on an outdated and error-prone patchwork of spreadsheets and manual data inputs, often leading to supply shortfalls, mislabeled products and overstocking of products that are no longer needed. This webinar will demonstrate how artificial intelligence (AI) replaces disconnected data silos with a digitized network footprint of all goods, services and logistics throughout the supply chain so that every decision is visible across the entire organization. AI’s machine learning capabilities remove materials guesswork by continually updating and interpreting market and customer trends to drive highly accurate predictive inventory analyses for indirect MRO, direct goods and even finished products. The webinar will also explain how complete digitization of data improves operational efficiency by harmonizing real-time, continually updated data across all departments and users, streamlining inventory management for speedy access to individual product stocks and available quantities.

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.