Vendor feeds that break search on arrival. Attribute gaps that tank conversion. Cleanup projects that regress within months. CatalogIQ is the intelligence layer that scores, enriches, and governs your catalog — continuously.
Every distributor and retailer has tried to "fix the catalog." Many times. The pattern is always the same: audit, clean, celebrate, decay. Six months later, you're back where you started — except now you're fielding questions about why the last initiative didn't stick.
Distributors normalize a thousand vendor feeds, then watch them drift the next quarter. Retailers enrich product pages for a campaign, then ignore the other ten thousand SKUs. The effort is real. The model is wrong.
CatalogIQ replaces the cleanup-and-regress cycle with a continuous system that scores, enriches, benchmarks, and governs your catalog — permanently.
| The Old Way | The CatalogIQ Way |
|---|---|
| Fix first, measure later | Score quality before fixing anything |
| Enrich everything equally | Prioritize by business impact |
| One-time cleanup projects | Continuous improvement loops |
| Generic AI content tools | Purpose-built for catalog complexity |
| Replace existing systems | Intelligence layer alongside your stack |
| Isolated deployments | Every deployment builds shared intelligence |
There is no "done." There is only current state and trajectory.
CatalogIQ is architected so that every deployment contributes to a growing intelligence layer. The more catalogs we score and enrich across categories, verticals, and vendor types, the more precisely the system understands what good looks like — and where gaps carry the highest cost. That compounding knowledge becomes harder to replicate with every cycle.
Real results from organizations that stopped cleaning up and started building systems.
CatalogIQ serves organizations with complex catalogs — each with distinct pain points that trace back to the same upstream problem.
Every supplier sends data in a different format. Taxonomy mismatches break your filters. Duplicate listings erode buyer trust. Onboarding a new vendor means weeks of manual normalization.
Thousands of SKUs from diverse suppliers with inconsistent attributes. Weak product content killing conversion. Brand voice fracturing across supplier-provided copy.
Engineering-first product data that isn't commerce-ready. Channel-specific demands from Amazon, Walmart, and retail partners.
Every new supplier brings catalog debt. Without upfront validation, poor-quality data compounds downstream.
Get a free catalog quality assessment that shows you exactly where your catalog is leaking revenue — and what to fix first. No pitch. Just intelligence about your business you can't get anywhere else.