E-commerce data optimization & workflow management
Clean data structures are the basic prerequisite for automation. Paired with smart workflow management, they let you scale operations without scaling manual effort — the difference between a shop that grows sustainably and one that drowns in spreadsheets as it gets bigger.
Backed by long-time experience across many e-commerce projects, I contribute both to the strategy and the hands-on implementation of the right data structures and workflows for your business.
Typical starting points I work on:- Restructuring product data to fit platform requirements (e.g. variant/attribute limitations when migrating to Shopify)
- Connecting systems — ERP, PIM, CRM — so data flows automatically instead of being maintained twice
- Automating repetitive workflows (translations, attribute mapping, order/inventory sync)
- Custom tools and API connections where standard integrations aren't enough
- Ongoing data quality maintenance as your catalogue grows
The first step is always understanding your current data structure and workflows — where the manual bottlenecks are, and what's realistic to automate given your systems and budget. From there, we prioritise based on impact and complexity, the same way I approach an SEO audit: some fixes are quick wins, others are bigger technical projects worth planning properly.