Digitized inventory management can make your supply chain more efficient and resilient to disruptions, develop higher visibility into your part consumption, improve forecasting, and help you reallocate resources to more productive responsibilities. But what does the transition into a new system actually entail for your business? What can you expect regarding timeline, cost, infrastructure, and strategies? Making better decisions requires insight from experts in their field. Join us to learn what Optimas Director of IT Business Systems, Jerry Segall, and Juan Jimenez, Global Business Development Director, recommend manufacturers do to optimize their inventory management in order to be more proactive and profitable. Walk away with practical and actionable insights into what transitioning or building a new inventory management system would look like for your business. Attendees will also have the opportunity to download Optimas’ Inventory Management Workbook for free. This workbook guides you through the decision-making/selection process for a vendor-managed system. You could use this guide to: -Determine your inventory management needs before you get started -Vet inventory management solutions providers -Set up KPIs to measure success

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…