The ability to rapidly respond to disruptive events in a sustainable manner is a critical capability for most enterprises. The key is to minimize the impact on cost and quality. How can supply chain leaders operationalize supply chain resilience to create value in the supply chain? The answer: They must have total visibility into inventory, order management, pricing, forecasting and more. A buy-sell solution — a multiparty platform for customers, suppliers, LSPs and trading partners — is a fresh approach that supports convergence while minimizing risk, disruptions and shortages. This tactic improves the balance sheet without sacrificing service levels. In this webinar — How A Buy-Sell Solution Can Operationalize Supply Chain Resilience To Create Value — GEP experts Alex Zhwill outline what you need and how you can benefit from this innovative buy-sell business process. On the Agenda: · Capabilities such as forecast collaboration and inventory management ensure the optimization of supply chains while controlling costs · Real-time collaboration with embedded context yields greater accuracy and productivity — which can’t happen without improved internal and external stakeholder experiences · Optimizing inventory and minimizing CapEx investments enable enterprises to be more nimble in pursuing market opportunities and improving resiliency

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…