Professional foundation
- Finance & accounting
- E-Commerce
- Controlling & KPIs
E-Commerce Finance · Process Analysis · independent project work
A number is not just a number; it is the result of a process.
I support small e-commerce and trading companies as well as tax advisory firms at the intersection of online shops, sales channels, ERP, payment systems and financial accounting. When discrepancies arise, I trace transactions across systems and processes, narrow down possible causes and prepare sound decisions. I also automate business processes where it makes sense and develop workflows further with AI support.
Do not just describe how I work.
Make what I do tangible.
01 Service profile
E-Commerce Finance & Process Analysis
I understand not only the accounting entry, but also the processes behind it.
My professional foundation is operational financial accounting in e-commerce: from accounts receivable, accounts payable and open-item management to intercompany, payment and platform reconciliations, month-end preparation, liquidity monitoring and reporting.
DATEV is the accounting system I work with directly. At the same time, I understand the upstream e-commerce processes from practical experience. This enables me to identify where a transaction has produced an unexpected financial result — without claiming specialist technical or tax expertise.
My service profile
Ongoing finance supportClearly defined responsibilities, coordinated and controlled
Cost controlIdentify cost trends, discrepancies and savings potential at an early stage
Root-cause & process analysisVerify discrepancies across systems and process steps
Purposeful automationAssess purpose and commercial value first, then apply technology
How I work
Examine, verify and make the impact visible.
A plausible explanation is not enough for me. A cause should genuinely explain the issue and be confirmed through a cross-check.
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01
Identify the anomaly
Assess figures, patterns and discrepancies from a professional perspective.
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02
Verify the cause
Build comparison cases, isolate differences and perform cross-checks.
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03
Assess the impact
Make financial risks and upstream and downstream processes visible.
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04
Prepare the decision
Compare options, effort and expected impact transparently.
My professional skills as tools
I select what genuinely helps for each task.
Not every situation requires the same method. Finance is my professional anchor; systems, process analysis and automation complement the appropriate approach.
Systems
- DATEV & AccountOne
- Payment service providers: PayPal, Stripe, Adyen, Mollie, Klarna, Unzer, SumUp
- Shop systems: Shopware, Shopify
- Sales channels: Amazon, eBay, OTTO, MediaMarktSaturn, METRO, MarketSupply and others
- ERP systems: Xentral, PlentyONE, JTL, WooCommerce
Applications
- Microsoft 365
- AI & LLM systems: OpenAI / ChatGPT, Anthropic Claude, Google Gemini, Microsoft Copilot and other LLM systems
- RAG systems: various knowledge-based applications
- Automation: n8n
A good basis for collaboration
A small client portfolio. Clear responsibility. Long-term insight.
Target clients
Small e-commerce and trading companies as well as tax advisory firms with e-commerce clients.
Engagement model
Two to three clients, predominantly remote, preferably with predictable weekly time allocations.
Clear boundaries
No tax advice and no independent VAT assessment or classification of transactions. No software development or system administration. Specialists are involved wherever their expertise is required.
02 How I work
Operationally reliable · commercially aware
Seeing finance in context.
I connect ongoing financial accounting with cost and liquidity control, reconciliations, reporting and an understanding of the wider commercial context. Process analysis is one of my tools — not the sole focus of my work.
Organise finance reliably
I keep ongoing finance activities structured and under control — from accounts receivable, accounts payable and open-item management to intercompany, payment and platform reconciliations and month-end preparation.
Put developments into context
I connect planned, target and actual figures with costs, margins, liquidity and relevant KPIs. This makes discrepancies, risks and the need for action visible at an early stage.
Create clarity for decisions
I present figures, impacts, risks and options transparently, coordinate open issues with responsible stakeholders and specialists, and keep responsibilities clear.
03 AI applications
Professional development · AI Manager (IHK)
AI applications as an extension of my professional toolkit.
These projects demonstrate my work with AI, automation, change and governance. They complement my professional experience but are not presented as many years of professional AI practice.
AI strategy for companies
Analysed the starting point, developed a target vision and created a roadmap from a rule-based shop to a controlled AI pilot.
Outcome: strategy, pilot framework, KPIs and a scaling decisionEvaluate and prioritise use cases
Made several AI ideas comparable in terms of business value, feasibility, data availability and risk.
Outcome: a transparent selection instead of a technology decision based on intuitionNeeds-based product advice
Developed a conversational logic that understands the customer's plans, requests missing information and uses controlled product data.
Outcome: pilot concept for cross-category adviceApply suitable delivery models
Combined business understanding, data work, iterative development and performance measurement using CRISP-DM, CRISP-ML(Q), Scrum and DDS.
Outcome: an approach shaped by the task rather than by the frameworkDesign a responsible implementation
Planned for risks, data protection, human oversight, stakeholders and acceptance as integral parts of the solution.
Outcome: clear boundaries, responsibilities and implementation stepsProvide knowledge in a controlled way
Assessed context windows, company knowledge, grounding and hallucination risks for reliable use.
Outcome: an architectural principle for reliable rather than fabricated answersFrom workflow to reliable automation
Combined n8n and human-in-the-loop controls in a structured automation concept.
Outcome: a clearly defined prototype with fallbacks, responsibilities and measurable value