Charu Thomas

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…

The story of the manufacturing industry has been one of progress. Few manufacturers continue to produce the same products as they did in their infancy years. In order to remain competitive, manufacturers must continue to evolve their products to meet the demands of the marketplace. But meeting consumer demand is only half the battle — the other half is staying up to speed with industry advancements. New technology brings a host of changes that manufacturers must recognize. For example, increasing dependence on automation leads to the need for more skilled workers who understand these advanced systems. If workers cannot adapt successfully, organizations could find themselves struggling to keep up with the rest of the industry. To remain competitive in this dynamic environment, organizations should have several tools at their disposal that go beyond the physical equipment and technology innovations used in their facilities. These tools are ideas manufacturers can keep in their toolbox and use to produce next-level productivity. For example, one tool can be an investment in regular maintenance, which can ensure that machinery stays in service for as long as possible. This results in higher productivity and fewer costly downtime periods. For more ideas manufacturing companies should keep…