Accurate, complete, normalized. Catalog data that sells.
Great data powers eCommerce, and in 2026 it also powers AI shopping assistants and answer engines. We clean, enrich and structure product data at scale.
AI can only recommend what it can understand.
Shopping assistants, marketplace search and Google’s AI results all rely on structured product data. Missing attributes, mixed units and duplicate SKUs mean your products are skipped, mismatched or shown less often.
Show up in filters and AI answers
Complete attributes make products eligible for faceted search, comparisons and AI-generated shortlists.
Give shoppers confidence
Accurate specs and consistent data reduce returns and abandoned carts.
One version of the truth
Normalized data flows cleanly into your PIM, storefront, feeds and marketplaces.
What we deliver.
Product Data Normalization
Product data accuracy directly affects on-site search, the relevance of products shown, marketplace acceptance and conversion. Inconsistent data from many suppliers is the norm, not the exception.
We identify when two or more references to a product disagree, resolve the inconsistencies against your taxonomy and flag anomalies before they reach your storefront.
- Attribute name and value standardization
- Units, sizes and measurements normalized
- Duplicate and near-duplicate SKU resolution
- Variant grouping and parent/child relationships
- Brand, manufacturer and GTIN/MPN validation
Attribute Gathering & Proofing
Data gaps cost sales. We source, verify, correct and extend product attributes from manufacturer and authoritative sources, filling empty fields and fixing errors at scale.
- Spec and attribute research from authoritative sources
- Missing-field completion against your required attribute set
- Compatibility, fitment and use-case data
- Retailer and marketplace compliance checks
- Ongoing data hygiene for new SKUs
Taxonomy & Categorization
A clear taxonomy makes products easier to find for shoppers, filters and AI systems alike. We design, extend and apply category structures that reflect how people actually shop.
- Taxonomy design and gap analysis
- Product categorization and re-categorization
- Facet and filter strategy
- Search relevance tuning
- Category-to-channel mapping
Shopping Feeds & Channel Readiness
Your product data now powers Google Shopping, marketplaces and AI shopping agents. We make sure each channel gets complete, accurate and optimized data.
- Google Merchant Center feed optimization
- Marketplace listing data (Amazon, Walmart and more)
- Product titles and attributes tuned per channel
- Feed error and disapproval cleanup
- Structured product data for AI shopping experiences
Listing, Link & Media Verification
For data providers, directories and large catalogs, accuracy is the product. We verify listings, links and media at scale.
- Business and product listing verification
- Broken and inaccurate link detection
- Image identification and gap finding
- Video tagging and scene slicing
- Data categorization and judgment tasks
AI speed. Specialist accuracy.
Machine learning handles extraction, matching and anomaly detection across the full catalog. Our data specialists learn your taxonomy, set the rules, resolve the edge cases and QA every batch before it is delivered into your systems.
Find the gaps in your product data.
Send a sample export or a category URL and we’ll show you where data quality is costing you visibility.