Share:

Building for Uncertainty: Stefan Groschupf on Reimagining Supply Chain AI at Manifest 2026

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… and if it’s 18 days, it may change on Monday.” Yet companies continue to optimize inventory and production based on static assumptions.

Centrum AI takes a different approach. “We take uncertainty as a foundational element,” Stefan explained. Instead of relying on fixed attributes, the platform works with probabilities, reflecting how supply chains actually behave.

 

From Wall Street to the Warehouse

Stefan’s background spans more than two decades in machine learning and big data. His teams previously built risk models that powered “80% of all North American financial transactions” and supported algorithmic trading systems making multi-billion-dollar decisions.

“A lot of the things we did to make multi-billion dollar decisions in the stock market actually really perfectly apply to supply chain,” he said. If financial markets can compute uncertainty in real time, supply networks can as well.

 

2026: The Era of Compounding Uncertainty

When asked about dominant themes shaping 2026, Stefan was direct: “The big theme that everybody has to solve for is uncertainty. And the uncertainties will only increase.”

Geopolitical realignment, shifting trade blocs, labor shortages, and accelerating technological change are redrawing supply networks. But Stefan cautioned that AI is not just a technology challenge. “AI is more a human adoption problem. Change management is the top problem.”

He also pointed to the rise of physical AI, such as robotics and automation, as essential in a world where reshoring meets workforce constraints. “You don’t want to be at the same spot in five years… as you are right now with ‘all my data is dirty and I’m trying to get AI to work.’”

 

Seeing the Supply Chain as an Organism

Centrum AI’s broader ambition is to help leaders see beyond surface-level metrics. Stefan described a foundational model that understands the global flow of materials and how it truly represents a living, breathing “organism.”

By analyzing upstream signals, the system can anticipate downstream demand shifts. The platform can run “tens of thousands of simulations on a daily basis,” consuming “20 billion supply chain records globally.”

The outcome is precise inventory optimization. Rather than spreading “15% safety stock like a peanut butter spread on everything,” companies can reduce stock for low-risk SKUs while increasing it for high-risk ones, freeing working capital while maintaining service.

As Scott confirmed, the immense value is to help leaders “see far deeper, far further, and around corners” – – and enable them to make the best decisions possible.

 

A Can-Do Industry

Reflecting on Manifest 2026, Stefan expressed optimism. “People are excited to solve some of these problems,” he said. “I’ve seen a very positive ‘can-do, will-do, we need to figure this out now’ attitude.”

In an era defined by volatility, that mindset, combined with uncertainty-first, probabilistic technology, may be the defining advantage for the next generation of supply chain leaders.

 

Where to Learn More

Connect with Stefan Groschupf on LinkedIn here; and be sure to follow Centrum AI on LinkedIn here. For more information, check out the company website here: https://www.centrum-ai.com/

More Blogs

supply chain planning
Blogs
January 7, 2026

ToolsGroup CEO Sean Elliott on Embracing Uncertainty, Probabilistic Planning, and Preparing for an Agentic Future

At the Gartner Supply Chain Planning Summit in Denver, Scott Luton sat down with Sean Elliott, CEO of ToolsGroup, to discuss why uncertainty is no longer something supply chain leaders should fear—and how the right technology can turn volatility into advantage. Elliott brings decades of experience across supply chain execution and planning, a background that shapes his pragmatic leadership philosophy. As he noted, bad plans can cripple even the best execution environments, just as poor execution can undermine well-crafted plans. ToolsGroup’s mission sits squarely at that intersection.   What Makes ToolsGroup Different Elliott described ToolsGroup as one of the few truly probabilistic planning providers in the market. While many vendors claim probabilistic capabilities, most stop at probabilistic forecasting. ToolsGroup goes further by embedding probabilistic thinking across the full breadth of its planning technology. The company’s belief is simple but powerful: uncertainty is not the enemy—it’s an asset. Rather than chasing forecast accuracy for its own sake, ToolsGroup focuses on business outcomes. What planning organizations really care about, Elliott argued, is having the right inventory in the right place at the right time to satisfy customers. Customer satisfaction—driven by availability, pricing, and service—is the ultimate goal. Probabilistic planning enables organizations to…
supply chain planning
Blogs
January 16, 2026

Demand Chain AI’s Rob Haddock on Raising Planning Maturity and Helping Companies Outgrow Spreadsheets

At the Gartner Supply Chain Planning Summit in Denver, Scott Luton caught up with Rob Haddock, a seasoned supply chain practitioner and advisor with Demand Chain AI, to discuss the persistent planning challenges organizations face—and why maturity, discipline, and optimization still matter more than buzzwords. Demand Chain AI blends consulting services with advanced supply chain technologies, focusing on optimization across trade promotion management, demand sensing, supply planning, and detailed production scheduling. Haddock’s role centers on helping organizations strengthen business processes—particularly sales and operations planning (S&OP), performance reporting, and the practical application of technology to improve execution on both the demand and supply sides.   A Practitioner’s Perspective on Planning Gaps Haddock’s perspective is shaped by decades spent inside large, sophisticated supply chain organizations. Early in his career, he worked within an iconic, global beverage company where advanced planning environments were already in place—though, in hindsight, he admits those tools were sometimes underutilized. Today, Haddock spends much of his time working with small and mid-sized organizations that haven’t been as fortunate. In many of these environments, planning maturity is still low, foundational practices are missing, and—unsurprisingly—Excel remains the primary planning tool. “Basic business practices that have been around since the 1990s…