For catalog teams
Bearings your customers can actually filter and compare.
Filters that return the wrong bearings, three rows for one product, columns that mean different things per brand. Start by seeing exactly where your file stands — in five minutes, without sending it anywhere.
Typical jobs
What catalog teams bring to us
Onboarding a new supplier file
Map unfamiliar columns into your model without breaking existing filters.
PlaybookCleaning up width and dimension fields
Separate ring width, total width and height across brands.
NormalizationCollapsing duplicate SKUs safely
Group true duplicates while keeping variants apart.
MatchingFilling missing specifications
Add values only where a source supports them.
EnrichmentExplaining blanks
Tell unknown from not applicable so completeness means something.
GuidePlacing unidentified records
Connect vague descriptions to manufacturer products with evidence.
Identification
How to start
Three steps, no commitment
Run the checker
Load an export in your browser and download the structural report.
Pick one category
Choose the category where bad data costs you most.
Scope an assessment
We agree record count, sources, deliverables and exclusions in writing.
Bring one messy category.
Leave with a clear next step.
Share what your catalog looks like today. We will tell you what a scoped assessment would cover, what it would not, and what we would need from you.