Chrystal York – Mark Columbo

Special Guest Blog Post written by Bernadine Henderson Ms. Henderson, senior director of procurement at Protolabs, lifts the lid on buying in manufacturing and why relationships are central to it.   Simply put, the job of a buyer is really about buying the right thing at the right time for the right price. It sounds simple, but it really is very complicated because everything that’s going on in the world impacts the timing, the availability, and the price of the product. This means that buying has recently got a lot more complicated. World events have very real consequences on global supply chains. Just one example is the way in which buyers have responded to tariffs in the U.S. by re-routing sourcing locations. It takes a certain amount of agility to be a buyer in 2025, and this quick responsiveness is helped along by one key ingredient, and that is strong relationships with suppliers. Relationships Built on Trust A widely held misconception is that buyers are only interested in getting to the lowest price possible. In fact, the most important thing to a buyer is for suppliers to bring solutions that deliver overall value. In my experience, a really strong supplier…

Prospects of supply chain automation have the industry abuzz. It’s even become a major sticking point in the International Longshoremen’s Association contract negotiations with the United States Maritime Alliance. The dockworkers do not want ports to automate processes out of fear they will lose their jobs to machines. Today, there are seemingly endless possibilities for optimization. Terms like generative artificial intelligence and machine learning have become commonplace in discussions about ways to gain efficiencies and reduce costs. Can man and machine work together as businesses leverage automation for optimization? Beyond the Buzz: Understanding the Automation Imperative Machine learning, a subset of artificial intelligence (AI), is described by Business News Daily as a later-stage development in which machines take in data on their own and then analyze it. Automation, on the other hand, is fixed on repetitive tasks; after a job is performed, an automation system “thinks no further.” The Business News Daily article explained that “automation involves an entire category of technologies that provide activity or work without human involvement,” while AI involves “a machine exhibiting and practicing something similar to what we describe as human thinking – that is, the ability to interact in thousands of ways with the…