Technology Meets Industrial Practice

Generative AI is transforming everything – from product development to supply chains. Yet, technology alone cannot solve complex industrial challenges. The difference between hype and real business value lies in intelligent integration.

I help manufacturing companies identify the right use cases and deploy AI where it delivers measurable ROI: deep within your processes, not just on the surface of your presentations.

Why AI Projects Fail in Industry

The statistics are sobering: Over 70% of AI initiatives in manufacturing never reach production. The reason? It’s rarely about the algorithm.

The Hidden Barriers to AI Success

Fragmented Data Systems

Legacy systems don’t talk to each other. Data silos prevent end-to-end visibility.

Outdated Processes

Layering AI on top of inefficient workflows only automates chaos.

Lack of Strategy

Technology without process understanding leads to “garbage in, garbage out.”

True transformation requires more than software. It demands a strategic approach that starts with data integrity, rethinks processes, and aligns people. This is the core of Industry 5.0: technology serving humans—not the other way around.

The Business Quotient: Three Worlds, One Solution

My approach bridges three dimensions that are often treated in isolation—but only deliver real value when combined:

Deep Domain Expertise

25+ years in manufacturing, SAP processes (PP, MM, QM), and supply chain management. I understand the physics of production—from raw material to finished product.

Platform Strategy

A decade in product management for leading SCM platforms like SupplyOn. I know how to design and scale software for global supply chains

Future Tech (AI/GenAI)

Cutting-edge expertise in Agentic AI and Generative AI. I separate what’s technically feasible from what’s just noise.

The Outcome

No theoretical PowerPoint slides. Instead: actionable roadmaps with clear milestones and measurable ROI. Strategies that work in the real world.

Industry Insights: AI in Manufacturing Today

From Design to Production

How Generative AI and ControlNet reduce design cycles from weeks to hours. Automated variant generation enables mass customization without sacrificing efficiency.

The Smart Factory Reality

Why Predictive Maintenance and Computer Vision for quality control are no longer futuristic—they’re operational necessities. Companies are cutting downtime by up to 40%.

Solving the Data Dilemma

Why companies like IKEA succeed (98% forecast accuracy): They invest first in data quality and process harmonization—then in AI. The sequence matters.

The decision to adopt generative AI is far more than a technological upgrade. It’s a strategic inflection point that impacts the entire enterprise—from engineering and production to sales.

Sven Vollmer, The Industrial Translator