Workflow
Product data and enrichment workflows
Workflows that turn supplier data, raw attributes and source assets into clean, consistent product information ready for ecommerce, marketplaces, catalogues and search.
This may look different in your business. The same pattern can apply to other workflows where information is collected, checked, compared, enriched, approved, reported or acted on.
What this workflow usually involves
Ingesting supplier data, classifying products, normalising attributes, drafting descriptions, attaching assets, reviewing and publishing.
Where it breaks
- Inconsistent supplier formats.
- Manual rewriting for every channel.
- No clear review queue.
Common inputs
- Supplier data sheets
- Existing PIM records
- Marketing rules
- Image and document assets
Common outputs
- Updated PIM records
- Channel-ready descriptions
- Attribute normalisation reports
- Review queue items
Where AI can help
Classification, attribute extraction, description drafting and gap detection — with a human reviewer for tone, claims and final publish.
Where human review belongs
On regulated claims, customer-facing tone and anything category-specific that needs domain knowledge.
Systems often involved
- PIM
- Ecommerce platform
- Marketplaces
- DAM
- Spreadsheets
Example applications
- PIM and product attribute enrichment
- Description drafting at scale
- Bundle and multi-merch creation
How value is measured
Time from supplier file to live record, share of records needing manual rework and consistency between channels.
Where this connects