The automotive industry is entering a new era of supply chain collaboration; one driven by connected data, shared intelligence, and standardized digital ecosystems.   In this special webinar, Scott Luton of Supply Chain Now sits down with Kevin Piotrowski and Jim Liegghio of Automotive Industry Action Group to explore the major trends reshaping automotive supply chains and why CATENA-X is rapidly becoming one of the industry’s most important transformation initiatives.   As the official North America hub for CATENA-X, AIAG is helping OEMs, suppliers, and technology providers move beyond disconnected systems and fragmented data toward secure, standardized collaboration across the value chain. The conversation will unpack why data sharing is no longer optional, how leading organizations are connecting systems that were never designed to work together, and why CATENA-X momentum continues to accelerate globally.   Scott, Kevin, and Jim will also discuss practical use cases already delivering measurable results across supply chain visibility, quality, efficiency, traceability, and corporate responsibility, as well as what supply chain leaders should do now to prepare for evolving OEM expectations and digital requirements.   Whether you are already exploring CATENA-X or simply trying to better understand the future of automotive supply chain collaboration, this session…

Most supply chains aren’t short on data. They’re short on decision velocity. Planning still runs in weekly or monthly cycles, and that latency becomes the bottleneck when demand, supply, and financials shift hourly.   In this Supply Chain Now webinar, Zero100, a research and intelligence company focused on helping executives navigate the future of supply chain, and OMP, a leading provider of AI-powered supply chain planning software, explore two workflows where leading organizations are already making the move from periodic to continuous, adaptive planning: Signal-to-Plan and Inventory-to-Service. Zero100 calls these “Power Threads”: end-to-end workflows that connect signals, plans, and execution so decisions update as reality changes. OMP’s AI-powered platform provides the technology backbone to make it operational.   We’ll make it concrete through examples from consumer goods and pharma, showing what actually changes for the process, the people, and the results. And we’ll be straightforward about the hurdles. Scaling AI in planning takes more than technology. It takes new team structures, what leaders call “fusion teams”, plus org readiness, new skills, and clear governance. We’ll cover the top barriers and what the path forward looks like.   You’ll leave with: A clear, jargon-free picture of how Signal-to-Plan and Inventory-to-Service work…