1. Identity
- Every product has a stable canonical identifier.
- GTIN, SKU, model, batch and serial are not confused.
- Variants and units resolve to the correct master product.
- Public URLs remain persistent when ecommerce systems change.
2. Product and materials
- Category, mass and fibre composition are structured.
- Percentages, units and material names are normalised.
- Recycled, organic or certified claims link to evidence.
- Components and packaging can be represented separately where required.
3. Supply chain and compliance
- Suppliers and facilities are distinct entities.
- Countries and tiers have sources and effective dates.
- Certificates, declarations and tests have validity periods.
- Market restrictions can be evaluated by SKU, batch and destination.
4. Publication and governance
- Public and restricted fields are explicitly separated.
- Every fact has an owner, provenance and last-review date.
- Updates create auditable versions.
- Readiness scores use requirements applicable to the product and market.
- Teams can export, correct and transfer data without vendor lock-in.
A useful first milestone
Select 20 representative products across categories and suppliers. Build the full evidence chain for those products before scaling. The pilot should expose schema gaps, unclear ownership and missing supplier data—not hide them behind a generic completeness score.