Definition
CatalogIQ works by turning catalog quality into a measurable, repeatable workflow — it scores the catalog to establish a baseline, prioritizes the highest-impact gaps, applies governed enrichment or builds net-new records, and monitors quality as new SKUs, suppliers, and channel requirements arrive.
How the workflow runs, step by step
- Ingest. Bring in product data from variable, multi-source inputs — supplier feeds, spec sheets, and inconsistent existing records — with mapping and taxonomy alignment.
- Score. Evaluate catalog quality across completeness, consistency, and downstream readiness to establish a measurable baseline.
- Prioritize. Surface the gaps that most affect search, filtering, and channel performance so teams fix what matters first.
- Enrich. Fill and normalize attributes, units, and content at scale, applying brand and channel guidance through governed workflows.
- Build. Where enrichment is not enough, assemble structured records from sparse inputs (offered as usage-based Catalog Builder work).
- Govern & monitor. Keep quality from decaying by governing what enters and changes, and re-scoring over time.
The continuous loop
Together these steps form a loop rather than a one-off project: score what you have, enrich what matters, and build what is missing — then re-score. That is what separates ongoing catalog operations from a single spreadsheet cleanup.
How it relates to catalog intelligence
Measuring quality first and improving it systematically is the defining pattern of catalog intelligence. See also how CatalogIQ calculates its score.