Onboard supplier product data without surrendering control.
Map each supplier once, preview every delivery, and review only the products that changed. Nexodo turns recurring CSV files and Google Sheets into a governed intake workflow.
Reusable mapping
Translate each supplier's headings once.
Dry-run preview
See the effect before accepting the batch.
Batch rollback
Recover from a file that should not have shipped.
Intake
Supplier onboarding should be repeatable, not reinvented per file.
Supplier product data commonly arrives with internal field names, mixed identifiers, missing attributes, and columns that drift between versions. Nexodo saves a mapping from that source structure into your product model so the next delivery follows the same path.
The original observations remain tied to the source. This makes it possible to inspect what the supplier sent even after the team approves a different customer-facing value.
- CSV upload and connected Google Sheets
- Column mapping into shared attributes
- Source ownership and import history
- Row-level errors before acceptance
Preview
Know exactly what a supplier file will change.
A dry run classifies the proposed import: new products, updated values, validation failures, and conflicts with the canonical record. Reviewers can concentrate on material differences.
This is safer than treating an import as a database overwrite. It also creates a concrete approval conversation between category managers, catalog operations, and ecommerce.
Recovery
Keep a way back when a clean-looking file is wrong.
Accepted imports are recorded as batches. If a supplier shifted columns, removed values, or sent the wrong assortment, rollback restores the prior state for that batch.
Nexodo currently supports structured CSV and Google Sheets workflows. It does not claim PDF or native XLSX extraction; those formats should be converted before ingestion today.
Supplier readiness
Define the acceptance contract before increasing feed volume.
A repeatable onboarding process needs more than column mapping. Establish the identifiers used for product matching, the attributes required by category, accepted value formats, asset expectations, update frequency, and the owner who resolves exceptions. Those decisions prevent automation from accelerating ambiguity.
Start with a representative delivery, document its failure modes, and refine the mapping and rules before scheduling broader intake. Monitor rejected rows, unmatched products, recurring missing attributes, conflict rates, and the time from receipt to approval. This converts onboarding into an improvable operating process rather than a sequence of emergency imports.
Share the recurring exceptions with the supplier when possible. A clearer source template can remove work upstream, while Nexodo's mapping and history keep the intake process stable when a perfect feed is not available.
- Agree on stable identifiers and category requirements
- Separate blocking errors from reviewable warnings
- Assign an owner for unmatched and conflicting records
- Review recurring failures with the supplier
Frequently asked questions
Clear answers before you evaluate a PIM.
Which supplier file formats are supported?+
CSV files and Google Sheets are supported today. Native PDF and XLSX extraction are not yet available.
Do mappings need to be recreated for every update?+
No. A mapping can be reused for recurring files from the same supplier and adjusted when the source structure changes.
Can an import be reviewed before it writes data?+
Yes. Preview shows additions, changes, conflicts, and errors before the batch is applied.
Continue your product data research
Turn many supplier catalogs into one trustworthy product catalog.
Read more →Product data qualityFind the catalog problems that block a confident purchase.
Read more →PIM for manufacturingPIM for manufacturing teams with technical product data.
Read more →PIM softwarePIM software that keeps every product value accountable.
Read more →Test Nexodo with a supplier file your team already uses.
Import a CSV or Google Sheet, review changed values, and see whether the workflow fits your catalog before you commit.
- Use a representative product sample
- See source evidence and import history
- No invented feature claims