The process · end to end
You send your product catalog export — Excel or CSV, however messy. We deduplicate, standardize, and verify it, recording every edit in a per-cell change-log and flagging anything uncertain for your decision. You get back an import-ready file plus three supporting artifacts, usually in about five business days. Here is the exact process, step by step, with nothing changed silently.
Email your catalog as Excel or CSV — however messy. Multiple sheets and separate supplier files are fine. We agree scope and confidentiality up front, and we'll sign your NDA.
Deduplicated, standardized and validated, backed by a structured three-layer quality-assurance review — with every edit logged and anything uncertain flagged for your call, never guessed.
An import-ready file plus a data dictionary, a per-cell change-log, and a findings report — usually in about five business days.
You send the export. We look at it, confirm what import-ready means for your target system, and agree the scope in writing. Your data is treated as confidential, used only for your job, and deleted after delivery — and we'll sign your NDA before you send anything.
Duplicate SKUs and variants resolved with survivorship rules, never blind merging. Units of measure made consistent and GS1 GTIN check digits validated. Categories mapped to your taxonomy, attributes completed, dates normalized to ISO 8601 and currencies to ISO 4217 minor units.
Every job is checked in three structured passes: the cleaning rules, the standards conformance, and a reconciliation that confirms no row was quietly dropped and no value invented. The counts tie out, in and out, before anything leaves.
Anything we cannot resolve with confidence is flagged rather than overwritten. These become a short decision list of items only you can settle — a conflicting price, an ambiguous variant — so judgment calls stay yours, not ours.
You receive the cleaned, import-ready file, a data dictionary explaining every column, a per-cell change-log of original → cleaned → why, and a findings report with the decision list — usually in about five business days.
The free sample proves the quality on your own data. From there it's a fixed-price audit, then the full cleanup, then ongoing readiness if you want it — staged so your PIM or platform migration doesn't stall on dirty data.
A cleaned, import-ready data file
A data dictionary — every column explained
A per-cell change-log — original → cleaned → why
A findings report + a short decision list
The point of the process is that you can check every cut — not take our word for it.
A typical cleanup takes about five business days from the time we have your file and an agreed scope. Larger or more tangled catalogs take longer, and a fixed-price audit comes first so the timeline is set before any work begins. The free 50-SKU sample is usually back within a few days.
The per-cell change-log is a record of every value we changed: the original, the cleaned result, and the reason. Nothing is altered silently. You can open it next to the cleaned file and check the work line by line — which is also how you verify the free sample before committing to anything.
Anything uncertain is flagged, never guessed. We collect these into a short decision list in the findings report — items only you can resolve, such as which of two conflicting prices is correct. No value is invented and no row is quietly dropped; the counts reconcile in and out.
Send 50 of your real SKUs. You'll get them back cleaned, with the change-log, so you can judge the quality before committing. No card, no obligation.
Get 50 SKUs cleaned free