Product Data & Catalog Consulting
Bad product data is expensive in ways nobody itemizes: wrong parts shipped, returns, lost search, stalled channel launches. We score what you have, fix what pays, and automate the checks so it stays fixed.
Score my catalogWhat we do
Data-quality audits
Completeness, consistency, validity and uniqueness scored by category, so “our data is bad” becomes a number with a target.
Taxonomy & attribution
Category structure, required attribute sets, controlled values, and units that survive contact with three channels.
Duplicate & conflict detection
Match logic that finds the same part entered four ways, plus a workflow for resolving it without a committee.
Automated validation
Rules that run on every import and every new item, so errors are caught at entry instead of by a customer.
Quality scorecards
A standing measure by category, brand and channel, so data quality gets managed like any other operating metric.
Catalog process design
Who owns which field, how new items get created, and how vendor data gets ingested without hand-editing spreadsheets.
What you get
Common questions
Do we need to buy a PIM first?
No — and buying one before you have defined taxonomy and ownership is how PIM projects fail. Get the model right, then decide whether you need the software.
Can you handle ACES and PIES?
Yes — it is a specialty. See the automotive aftermarket page for fitment, coverage and content scoring specifics.
Bring us the messy data.
Whichever practice fits, the first step is the same: one conversation about what is actually broken.