Cargo theft is becoming more organized, more sophisticated and more difficult to prevent. Criminals are increasingly using identity fraud, strategic deception and coordinated theft rings to target high-value shipments, forcing shippers, logistics providers and carriers to rethink how they protect freight.

RFID and machine vision are gaining momentum because they offer a practical, cost-effective path to automation. Unlike large-scale robotics projects that often require major facility redesigns and significant capital investment, RFID readers and AI-powered camera systems can typically be layered onto existing warehouse and manufacturing operations.

Warehouse automation decisions are often based on assumptions about future volume, labor, SKU mix, workflows, and facility requirements. The challenge is that those assumptions rarely stay fixed over the life of an automation investment.

Using a practical, nine-step framework and real examples from demand and supply planning, including AI-generated scenarios that surface capacity risks before a Supply Review even begins, JT will show what's possible today, what's still emerging, and how to avoid the governance pitfalls that derail AI adoption.

Join Evermark and 4flow to learn how the team accelerated its Kinaxis transformation through rapid mobilization, disciplined prioritization and a Minimum Viable Product (MVP)-first implementation strategy. Whether you're navigating a merger, modernizing planning or leading a business transformation, you'll gain practical insights for delivering change at speed while creating a foundation for long-term success.