Kurt Albertson

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…

Special Guest Blog Post written by Karin Bursa, Founder and CEO of NIRAKIO and Supply Chain Now Host   Artificial intelligence is no longer a “what if” in supply chain — it is here. In fact, Gartner predicts that 50% of cross-functional supply chain management solutions will use intelligent agents to autonomously execute decisions in the ecosystem by 2030. But how do leaders move from hype to real impact? During our recent Supply Chain Now Power Panel, I asked five senior executives to share where they see AI making the biggest impact. Their answers revealed not just excitement, but a roadmap for how supply chains can evolve. Here is how they responded, in their own words. Q: Where do you see AI making the greatest impact in your supply chain? Eliza Simeonova – VP Global Supply, Mars Pet Nutrition “AI forces operational discipline. Clean data is no longer optional. The system itself demands it. I also see AI shaping supply chain synchronization — aligning suppliers, factories, warehouses, and customers in new ways.” Whitney Shlesinger – VP Global Planning & Logistics, McCormick “For me, it’s about people. Employees want to move beyond non-value-added work. AI allows us to free them up…