CatalogueIQ

1. Defect-Driven Content Analysis

CatalogIQ starts by taking defect topics extracted via CAM — the real complaints customers are reporting — and checks if the catalog addresses those issues clearly. If customers repeatedly say "smaller than expected," CatalogIQ verifies whether measurements are present, visible, and accurate. If they complain about installation difficulty, it checks for instructions or diagrams.

This creates a powerful loop between customer experience and catalogue information.

2. Completeness & Clarity Audit

Your product listing should answer every question a buyer has before purchasing. CatalogIQ checks whether all essential information — material, weight, size, parts included, compatibility, care instructions, assembly details — is available and well structured.

It also checks clarity, readability, and simplicity.

3. Image-to-Content Alignment

Images make promises. Text explains them. CatalogIQ ensures both promise the same thing.

If the text says "matte texture," but the image shows a glossy product, customers feel misled. If the image shows 2 pieces but description says 1 piece, confusion leads to returns. This alignment is crucial.

4. Accuracy & Consistency Validation

Small inconsistencies — different sizes in bullets vs description, different materials across sections — confuse customers. CatalogIQ validates consistency across title, bullets, description, and images to prevent this confusion.

5. Catalog Improvement Recommendations

Once gaps are detected, the system doesn't stop at analysis. CatalogIQ generates a prioritized, actionable improvement plan that guides sellers on exactly what to update, add, remove, or clarify to remove customer confusion.