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…

Being a logistics leader is no easy task. You need to manage complexity, continually optimize operations, make faster, smarter decisions, and always be prepared for anything, knowing that volatility can strike at any moment. Thankfully, you don’t have to go it alone. Join Uber Freight’s Steve Barber, Vice President of Product Management, and Shawn Piper, Director of Experience Design, along with Supply Chain Now hosts Scott Luton and Marty Parker, to tap into how supply chain and logistics leaders are leveraging transportation management systems (TMSes) to tackle rapidly-growing, complex operations head-on. Additionally, they’ll dive into: Key needs emerging across procurement, execution, visibility, payments, and insights as logistics leaders scale their operations How data-driven predictive and proactive experiences such as Insights AI can supercharge team productivity (especially if they’re directly built into your TMS) How TMS solutions are being reimagined to help transportation teams get—and stay—ahead of obstacles across modes and regions