A validation workflow that only works at small volumes is not a workflow. It is a habit. The test of a good design is whether the same sequence runs unchanged for ten codes or ten thousand.
The six stages
- Prepare the product file as CSV or Excel, mapped to the validation template.
- Ingest by direct upload for one-off checks, or by API connection where the catalogue changes frequently.
- Validate every code against the official TRACES EU database, matching approval number, country and activity category.
- Triage the flags. Valid codes approve; invalid, unrecognised or mismatched codes surface immediately.
- Resolve and re-run after confirming with suppliers, correcting data, or switching to an approved establishment.
- Export results as CSV or Excel, or return them through the API, and retain the history.
Where the stages usually break
Stage one is the bottleneck in practice. Data preparation takes longer than validation itself, because thousands of codes process in seconds while a badly structured spreadsheet takes an afternoon to fix. Investing in a standard template pays back on every subsequent run. The published bulk TRACES code validation method makes this explicit.
Stage five is where processes quietly fail. If resolution is manual and untracked, flags get noticed, discussed and then forgotten. Route each flag to an owner with a state that must reach resolved before the shipment record can close.
Make re-running cheap
The workflow runs at three triggers: before every shipment, at supplier onboarding, and on a weekly or monthly sweep. Anything that makes a re-run expensive will collapse that schedule into an annual review, which is exactly the failure mode automation is meant to remove.
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