Patricia Gabriel

A Legacy Behind the Mission At Manifest 2026 in Las Vegas, Scott Luton sat down with Stefan Groschupf, CEO & Founder of Centrum AI, to discuss how a new generation of technology is being purpose-built for today’s supply chain realities, rather than yesterday’s assumptions. What began with a lighthearted joke about multivitamins quickly turned personal. When Scott quipped that “Centrum” reminded him of a vitamin from the eighties and nineties, Stefan shared the real inspiration behind the name. “My dad… the biggest building he constructed was called Centrum,” he explained. “That was the inspiration. His legacy, a head nod to him.” For Stefan, the company name represents more than branding; it reflects a mission rooted in impact and responsibility.   Designing for Today’s Reality “We’re building a new tech platform for the supply chain industry that is really built on the foundation of the reality today,” Stefan said. That reality includes uncertainty, dirty data, data silos, and geopolitical shifts that are reshaping global trade. He offered a simple example: in many ERP systems, a lead time is entered as a fixed number — say 15 days. “That’s of course nonsense,” Stefan noted. “It’s anywhere between nine days and 18 days……

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…