catalog intelligence platform

Your catalog isn't broken.
It's unmanaged.

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.

75%
organic traffic increase — 30 days, pet products retailer
1M+
SKUs scored and prioritized — enterprise industrial distributor
faster time to actionable catalog intelligence vs. manual audit
30
days from diagnostic to measurable improvement — across paid engagements
15–25%
Revenue lost to poor data quality

For distributors, it’s vendor feeds that break search the day they arrive. For retailers, it’s attribute gaps that silently kill conversion.

MIT Sloan Management Review
40%
Online returns from inaccurate product data

Inconsistent attributes across suppliers. Missing specs that leave buyers guessing. The catalog was wrong — and your customers paid for it.

Akeneo / NRF Research
82%
AI/ML projects stall from data quality

AI shopping agents don’t browse mediocre results. They parse structured data — and skip products with missing attributes entirely.

MIT Research
the reframe

Projects decay. Systems compound.

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
the continuous cycle catalog

Four stages. One continuous loop.

There is no “done.” There is only current state and trajectory.

// 01

Score

Make catalog quality visible and measurable. For a distributor with 200 vendor feeds, scoring reveals which manufacturers are sending data that breaks your filters. For a retailer, it shows which categories have attribute gaps silently killing conversion.

// 02

Enrich

Fill gaps, normalize values, optimize content — prioritized by what drives discovery and conversion. For distributors, normalize supplier taxonomy mismatches. For retailers, generate conversion-ready content with consistent brand voice.

// 03

Benchmark

Connect quality improvements to business outcomes. Learn which enrichment patterns actually move the needle on search conversion, zero-result rates, and return rates.

// 04

Govern

Validate new products at ingestion. Catch regressions before they compound. For distributors onboarding new suppliers every quarter, this is where catalog debt starts — or stops.

One path compounds. The other decays.
Which one is your catalog on?

// compounding intelligence

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.

proof points

From invisible gaps to measurable improvement.

Real results from organizations that stopped cleaning up and started building systems.

B2C retailer · pet products

5,000-SKU Digital Retailer

Supplier-provided content was generic and inconsistent across brands. Nearly all products lacked structured metadata, with many categories showing 0% attribute coverage — killing search and conversion.

75%
increase in organic traffic within 30 days
100%
of catalog scored and enriched with structured metadata
B2B industrial · distribution

1M+ SKU Enterprise Distributor

Product data from hundreds of manufacturers — each with different formats, naming conventions, and attribute structures. 75% of SKUs lacked coverage for digital discovery.

1M+
SKUs scored and prioritized for phased enrichment
4x
faster time to actionable catalog intelligence
who it's for

Your pain. Your language. Your catalog.

CatalogIQ serves organizations with complex catalogs — each with distinct pain points that trace back to the same upstream problem.

primary

B2B Distributors

Every supplier sends data in a different format. Taxonomy mismatches break your filters. Missing specifications erode buyer trust. Onboarding a new vendor means weeks of manual normalization.

CatalogIQ normalizes vendor feeds, eliminates taxonomy mismatches, completes missing specs, and establishes governance before bad data enters your catalog.

primary

B2C Retailers

Thousands of SKUs from diverse suppliers with inconsistent attributes. Weak product content killing conversion. Brand voice fracturing across supplier-provided copy.

CatalogIQ scores your catalog across nine quality dimensions, enriches content for conversion and discovery, and maintains consistency at scale.

Manufacturers

Engineering-first product data that isn't commerce-ready. Channel-specific demands from Amazon, Walmart, and retail partners.

CatalogIQ transforms spec sheets into commerce-ready content and formats it for every downstream channel.

Marketplaces

Every new supplier brings catalog debt. Without upfront validation, poor-quality data compounds downstream.

CatalogIQ validates supplier catalogs at ingestion, establishing quality standards before bad data enters your marketplace.

Stop cleaning up.
Start compounding.

Get a free catalog quality assessment that shows you exactly where your catalog is leaking revenue — and what to fix first. No hard pitch. Just intelligence about your business you can't get anywhere else.