- E-commerce AI automation with privacy built in
Give your experts their real work back
I connect AI workflows to the systems you already run - ERP, PIM, Shopware, SAP, and similar stacks - without rebuilding your landscape or adding agency overhead.
KI-Strategie / Automatisierung / Enablement
Three bottlenecks that slow your team down every day
I will not promise a solution before I understand the bottleneck. We clarify that in a direct conversation - no pitch, no pressure.
Locked inside vendor APIs
Your data sits in closed systems. Custom vendor interfaces are often slow, blocked, or too expensive to justify.
Skilled people are trapped in routine work
Experienced people lose hours to manual data matching, copy-paste work, document checks, and searches through PDFs.
Privacy concerns keep projects stuck
Unclear rules and fear of data leaks can stop useful automation before it ever reaches a pilot.
Who you work with
15 years of code. 10 years of e-commerce. 3 years of agentic AI. No agency layer.
I am Nils, a freelance AI automation developer focused on e-commerce systems. I have spent years inside the operational reality of mid-sized online retailers: Shopware integrations, ERP connections, PIM data maintenance, and the messy workflows around them. Today I combine that experience with modern AI agents and automation architecture. Not as a consultant who leaves you with slides, but as the developer who can build and operate the system afterwards. I work directly with companies, without an agency or subcontractor layer. What we discuss stays confidential.
Information layer for agentic commerce
From compliance work to AI interface: the business case for the DPP
One topic I am watching closely is the EU Digital Product Passport. For many companies it looks like another compliance workload. I see it as the data layer future AI agents will use to compare, verify, and buy products without manually opening a website. Companies that structure their DPP data early will be better prepared when that shift becomes practical.
Where I can help in concrete terms
AI workflows and automation
Manual cross-system processes become reliable automations - document workflows, data maintenance, back-office routines, and integrations across Shopware, SAP, Akeneo, and similar systems.
AI readiness and system integration
I review your current infrastructure and identify where AI agents can create value without a rebuild or a new software landscape. The outcome is an executable plan, not a slide deck.
Digital Product Passport (DPP)
Technical architecture for the EU Digital Product Passport - auditable, API-ready, and structured so the data can also serve as a machine-readable interface for AI systems.
Quick orientation
Questions that usually come up before the first AI project
If one of these questions sounds familiar, that is normal. It is exactly why a small, clean first step is better than a huge AI program.
No. Vibe coding is a useful way to make ideas tangible fast. Production systems still need engineering, data understanding, review, testing, permissions, and operations. That bridge is the work.
First step
Let us check whether your idea is feasible with your current infrastructure.
You have a concrete automation scenario in mind, but you are not sure whether your interfaces can support it? In 30 minutes we take a sober look at your system landscape. No sales pitch, no slide show. Just an honest technical view of whether and how the idea can work without an expensive IT rebuild.