In today’s rapidly evolving supply chain landscape, staying ahead means rethinking how logistics networks operate from start to finish. Join Supply Chain Now hosts Scott Luton and Jake Barr for a forward-thinking discussion with industry expert Till Dengel from SAP. This session goes beyond tools and technology to explore the strategies, trends, and collaborative approaches reshaping logistics. Learn how innovation, data-driven decision-making, and stronger partnerships can enhance resilience, improve operator efficiency, and create more agile, customer-focused supply chains. Whether you’re navigating disruption, evaluating emerging technologies, or looking to build a stronger network of partners, you’ll walk away with actionable insights to help future-proof your operations. Key Takeaways: Fresh strategies to strengthen logistics resilience in a volatile environment Practical ways to boost efficiency and streamline end-to-end operations A closer look at AI and emerging innovations transforming supply chain logistics

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