AI-Robotics adoption in intralogistics and manufacturing is accelerating. Make data-driven decisions—not overhyped investments that fail to deliver real ROI.
Vendor Neutral
Independent evaluation
Risk Mitigation
Avoid costly pitfalls
ROI Focused
Measurable outcomes
How I Can Help You
Navigate the complex landscape of AI-powered robotics with confidence. Make informed decisions backed by rigorous analysis and industry expertise.
Evaluate Complexity
Which vendor and technology is suitable for your operations? Identify solutions that can truly compete with human labour and deliver measurable performance improvements.
Overcome Challenges
What are the pitfalls slowing down adoption in your warehouse or factory? Get a clear roadmap to overcome integration challenges and accelerate time-to-value.
CAPEX vs RaaS
What is the best business model for your robotics investment? Compare capital expenditure versus Robotics-as-a-Service to optimize your financial outcomes.
About
"With 8+ years experience in AI robotics from pre-sales, deployment projects and supporting stations, I help companies navigate complex robotics decisions with vendor-independent insights, ensuring you avoid costly mistakes and maximize ROI on automation investments."
2025 - 2026
Sereact - AI Robotics • Stuttgart
Ensuring 99% uptime for AI-powered robotic picking stations for enterprise and SME customers while driving strategic account expansions at the C-level.
2022 - 2024
Covariant - AI Robotics • Munich, London, San Francisco
Led go-live of warehouse robotic projects for Otto Group, pharmacies, and groceries, managing integrations with Autostore and Shuttle systems while aligning VP and C-level stakeholders.
2016 - 2021
RWTH Aachen, University of Kassel, Collège des Ingénieurs • Aachen, Kassel, Paris
Developed open-source Python software and applied machine learning to optimize complex infrastructure systems. Less AI robotics here, except the annoying vacuum cleaning robots I have at home that constantly get stuck since the 'AI' can't detect super obvious obstacles like dog toys.
Electrical Engineering & Computer Science - University of Kassel
Science & Management - Collège des Ingénieurs, Paris
AI Robotics, Customer Success, Pre-Sales & Team Leadership
No affiliations—objective advice focused on your success
Learn from Others
Real-world lessons from robotics projects. Understand common pitfalls and how to avoid them in your automation journey.
Challenge
Without a proper SKU analysis, the client assumed that a large amount of stock can be picked by the robotic system. Pickability was fully overestimated.
Impact
Costs exploded. Instead of designing the system to the real pickable volume, the design was based on wishful estimates.
Solution
Evaluate beforehand a realistic amount of items and order lines that can be picked. Conduct thorough SKU analysis before project commitment.
Challenge
Customer wanted to automate order picking from Autostore tote to order carton. The need to add promotional flyers were neglected in the design.
Impact
Half a year of back-and-forth discussions, compromise solution ended on the robotics graveyard. Client wasted more than half a million EUR.
Solution
Identify and evaluate all side tasks early. Small requirements can derail entire projects — scope them properly from the start.
Challenge
Measuring human throughput vs the robotic companies provided picks per hour as 'what the robot can do' — not the end-to-end value.
Impact
Robotics speed was not as high as expected, throughput too low, and the business case turned negative.
Solution
Ensure the comparison is sound — compare the same metrics. Getting from robotic speed to end-to-end speed is not trivial.
Get in Touch
Ready to make data-driven decisions about your robotics investments? I'm here to help you navigate the complexities and achieve real ROI.