Terri Seese

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…

Maximize the ROI of your transportation solutions now. Real-time transportation visibility is now more accessible thanks to advancements in connectivity, IoT devices, and modern systems. Supply chain priorities have shifted from simply tracking shipments to accurately predicting ETAs and identifying potential delays. This guide dives into the methodologies for ensuring high-quality visibility data, empowering you with actionable insights to optimize shipment flows and overall supply chain performance.   Download the Visibility Guide Here