Cargo theft surged again in 2025 — not just as a crime trend, but as a signal of deeper supply chain vulnerabilities. As organized networks evolve, and economic and geopolitical pressures persist, traditional approaches to cargo security are no longer enough. Hosted by Supply Chain Now’s Scott Luton, join industry leaders with Tive, Stridas & CargoNet for a forward-looking discussion on what this year’s trends tell us about the future of cargo theft — and how supply chain teams can prepare for the year ahead. We’ll unpack where and why theft patterns are shifting, explore how intelligence and visibility are reshaping prevention, and hear real-world insights from a customer who’s turning data into action. Whether you’re managing global logistics, transportation networks, or in-transit visibility, this session will help you understand what’s next — and how to stay one step ahead in 2026.

In this Agentic Age, Supply chain leaders are racing to adopt AI—but isolated solutions and disconnected systems often limit real impact. The true promise of AI emerges only when we reimagine the supply chain as a fully connected enterprise, breaking down decades-old silos across planning, logistics, materials, finance, and sustainability. In this session, Manik Sharma, Head of Supply Chain GTM AI at Celonis—magic quadrant leader, recognized globally and ranked #3 on the Fortune 50 Most Promising Companies list—will unpack how a modern AI-enabled tech stack can unify fragmented data, systems, and processes through a connected semantic layer that digitizes the physical value chain. Once established, this semantic layer becomes a dynamic foundation for intelligent, data-driven operations by infusing it with enterprise context—from rules, constraints, and parameters to policies and proven models—unlocking true end-to-end enterprise intelligence. This intelligence can then be democratized across the organization to power self-serve analytics, build composable AI solutions, and orchestrate workflows, collaboration, agents, and actions at scale. We’ll explore how companies are using this approach to unlock self-serve analytics, accelerate development of composable AI applications, and orchestrate autonomous workflows and agents at scale. This is not a future vision but a proven path for organizations that…