Florian Seebauer

At the Gartner Supply Chain Planning Summit in Denver, Scott Luton sat down with two leaders from Manhattan Associates—Brett Lindner, Director of Product for Supply Chain Planning, and Ryan Gifford—Senior Director of Strategic Business Development. Together, the conversations painted a clear picture of one of the most persistent challenges in supply chain—and one of the biggest opportunities ahead: unifying planning and execution to drive agility, visibility, and better outcomes.   A Unified View of the Supply Chain Manhattan Associates is widely known for its strength in supply chain execution, spanning warehouse management, transportation management, labor management, and order management. As both Lindner and Gifford emphasized, what differentiates Manhattan today is its unified platform that brings execution and planning together—not as loosely connected systems, but as a single, cohesive foundation. Lindner explained that Manhattan helps companies model and design their future supply chains, enabling better planning decisions that directly inform execution. Gifford echoed that point, describing Manhattan’s approach as “two formerly siloed applications now dancing in unison”—all driven by a shared inventory and decision framework.   The Old Problem That Won’t Go Away: Silos When asked about old and new challenges in supply chain planning, both leaders pointed to the same…

Special Guest Blog Post written by Deborah Dull   Imagine it’s launch season in your supply chain, and a team of AI agents is hard at work: coordinating shipments with suppliers, allocating inventory, and handling a missed delivery. It’s hard to go a day without hearing about the latest AI headlines: new LLMs, new applications, new use cases. These discussions are part of my every day. Business leaders and IT teams are eager to explore – and they have a lot of questions… and apprehension. In these discussions, we have found one framework that lands consistently: consider AI agents like new hires, not new software.   Step 1: Hire Like You Mean It Just like hiring humans, this step is about defining what you need. The first decision is the purpose of the role: what problems are you trying to solve? Where are your people overwhelmed? Where is your business growing in coming months? From here, the next decision is to build the business case just like you would for a new headcount. For example, consider the ROI of having a digital employee who can process supplier performance data 24/7. Now, decide on the type of agent that will join…