1 · Intake & scope, with an NDA
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.
2 · Clean & standardize
Duplicate SKUs and variants resolved with survivorship rules, never blind merging — and a crosswalk maps every removed SKU to the record it was merged into, so no merge is a black box. Units of measure made consistent and mapped to UN/CEFACT Rec 20 codes, 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.
3 · Three-layer quality-assurance review
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.
4 · Flagged, not guessed
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.
5 · Delivery of the four artifacts
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.
6 · Audit, full cleanup, or ongoing
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.