Automate your taxonomy audit and clean up product data
Align every category, attribute, and value in minutes so shoppers and search engines find your products first.
What is a taxonomy audit and how does it work?
A taxonomy audit ingests your entire category tree, benchmarks it against leading marketplaces, and flags overlaps, gaps, and noisy attributes. Redundant fields merge, missing ones appear, and values normalize, giving you a future-ready structure you can roll out without touching live listings.
Taxonomy audit results
Products reorganised
Attribute values normalised
Redundant categories removed
Why a taxonomy audit powers better catalog performance
Product data enrichment turns raw product info into clean, structured data. It involves extracting, unifying, transforming, and publishing data to ensure it’s accurate, complete, and ready for any eCommerce platform.
Higher search rankings
Precise categories improve indexing and SEO visibility
Faster filters & facets
Streamlined attributes cut load times and let users pinpoint products quickly
Lower maintenance costs
Instant marketplace sync
A normalized structure maps to Amazon, eBay, and niche verticals in one step
Actionable data roadmap
The audit report shows exactly where to refine, expand, or consolidate
Scales with growth
A flexible taxonomy adapts to new products, regions, and brands without breakage
Ready to fix your entire catalog in a single day?
Request a free sample audit on part of your data and see the results before you commit
Ecommerce automations by use cases
A taxonomy audit ingests your entire category tree, benchmarks it against leading marketplaces, and flags overlaps, gaps, and noisy attributes. Redundant fields merge, missing ones appear, and values normalize, giving you a future-ready structure you can roll out without touching live listings.
Taxonomy Audit
What catalog data is required to start a product-taxonomy audit?
Provide a complete export of your category tree, attribute schema, and every value set, preferably as CSV, JSON, or through a secure API. If your catalog is multilingual, add each locale in separate columns or files to keep translations intact. A sample of representative products for every high-traffic category helps catch edge-case issues early. If you run a PIM or data lake, token-based access lets the audit work on the freshest snapshot without disrupting daily operations.
How long does a product-taxonomy audit take for a 100 000-SKU catalog?
Turn-around depends on SKU volume, attribute depth, and language complexity. A mid-sized catalog with about 100 000 SKUs and 30 attributes per item usually finishes in under 24 hours, covering ingestion, validation, comparison, and report generation. Larger catalogs, up to several million SKUs, complete in 48–72 hours thanks to elastic cloud workers that process data in parallel. Milestone notifications show you exactly when to plan staging, QA, and deployment.
Will the taxonomy audit automatically update my live store?
No. Changes are never pushed to production without your approval. You receive structured recommendation files (CSV, XLSX, JSON, or platform-specific import bundles) plus a clear summary. You can apply fixes in bulk, cherry-pick high-impact updates, or test everything in a staging environment first. If you prefer, implementation support can include import scripting, regression testing, and rollback checkpoints.
Can the taxonomy audit handle multilingual product catalogs?
Yes. The audit engine recognises attribute names and values in more than 30 languages, including Latin, Cyrillic, and double-byte scripts, and maps them to a single canonical attribute record. For example, “Color”, “Farbe”, and “Couleur” stay linked instead of becoming three separate fields. When exporting, the tool attaches correct language strings, synonyms, and search keywords for each marketplace or locale, preserving local relevance without extra manual work.
How is the accuracy of taxonomy-audit recommendations measured?
Every recommendation carries a confidence score based on marketplace standards, statistical anomaly detection, and historical acceptance rates. Items that fall below your chosen threshold, such as 90 percent, enter a manual review queue so nothing risky slips through. The final report includes before-and-after metrics like facet depth, duplicate counts, and SEO keyword coverage, letting you measure exactly how the new taxonomy improves search, navigation, and data hygiene.
What deliverables and next steps follow completion of the taxonomy audit?
Catalog taxonomy audit
Pricing is based on the volume and complexity of your operations. Get a personalized quote tailored to your product catalog size, automation needs, and platform requirements.