What I work on
The gap between a technical product and a market-ready one.
Industrial knowledge is often real but difficult to use: locked in PDFs, scattered across spreadsheets, embedded in images, or held by people who must interpret it again for every catalogue, website, or sales conversation.
01
Structured industrial product knowledge
Problem Product information exists, but families, variants, attributes, terminology, and relationships are inconsistent or implicit.
Outcome A reviewed product model that can support more than one channel without losing its connection to the source.
- Product families and variant structure
- Attributes, terminology, and relationships
- Source links, review states, and known gaps
02
Catalog-to-market assets
Problem The same product knowledge must be repeatedly reinterpreted for catalogues, websites, product cards, presentations, and distributor materials.
Outcome Consistent market assets built from one structured foundation and adapted to the intended audience, language, and channel.
- Web-ready product libraries
- Catalogues and product cards
- Presentations, one-pagers, and distributor packs
03
Practical automation of repeatable workflows
Problem Teams repeat extraction, normalization, checking, and formatting work while responsibility still depends on human judgement.
Outcome Software and AI take on repeatable work; people retain review, approval, and responsibility.
- Extraction and normalization flows
- Review queues and approval checkpoints
- Rules for controlled market outputs