Stacey Pierce

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……

Companies are rapidly integrating generative AI into procurement and sourcing decisions. The promise is obvious. AI can read thousands of pages of supplier proposals faster than any human team, summarize technical requirements in seconds, and create the appearance of consistency and objectivity in evaluation. But there is an important distinction managers are starting to overlook. The same AI system that performs extremely well at identifying whether a supplier meets minimum requirements may perform much less reliably when judging which supplier is truly better. Recent research published in the Journal of Business Logistics examined this issue by comparing how large language models evaluated supplier bids against evaluations completed by experienced procurement professionals. It analyzed 123 supplier proposals tied to 31 public procurement projects conducted by the State of Ohio between 2023 and 2024. The projects involved complex IT services contracts, many containing large, text-heavy bid packages requiring evaluative judgment rather than simple arithmetic comparisons. The researchers tested three reasoning-oriented AI models: OpenAI o3, Grok-3-Mini, and DeepSeek R1. They then compared their evaluations against human procurement scores. The findings revealed a surprisingly clear pattern. AI performed well when evaluating compliance signals. These are signals tied to baseline qualifications and technical requirements. Does…