Automate data mining and product attributes enrichment
Fill in every missing detail, colors, specs, dimensions, and more, to improve UX, SEO, filtering, and marketplace listing approval
What is product attribute enrichment and how does it work?
Product Attribute Enrichment scans your entire catalog, crawls the internet for matching products across retailers and manufacturers, and pulls extra details from feeds, PDFs, and images. It fills every gap with attributes like material, size, and brand, mapping everything to your taxonomy while leaving your live listings untouched.
Product Attributes Enrichment Results
Attributes populated across catalogs
Average catalog-completeness score
Faster marketplace listing approval
Why product attribute enrichment powers better catalog performance
Product data enrichment turns incomplete listings into marketplace-ready records by gathering missing attributes from the web, feeds, PDFs, and images, then mapping them to both your internal and each marketplace’s taxonomy. The result is higher search visibility, faster onboarding, fewer listing errors, and greater shopper confidence.
Trustworthy data accuracy
Cross-verified attributes eliminate errors and give shoppers confidence in every spec |
Omnichannel consistency
Uniform, enriched specs sync to every marketplace, PIM, and ERP without reformatting
Images turned into data
Computer vision extracts hidden dimensions, components, and text from photos and diagrams
Multilingual expansion
Localized attribute sets power rapid catalog rollouts across global storefronts and regions
Duplicate-free listings
Advanced matching prevents double entries and merges conflicting product records automatically
Audit-ready transparency
Source logs keep every enriched attribute traceable for audits and compliance
Ready to turn incomplete listings into fully enriched products?
Request a free data enrichment sample and preview the impact before rolling it out
Ecommerce automations by use cases
Product attribute enrichment scans your entire catalog, extracts missing data from the web, feeds, PDFs, and images, and fills in every gap. It matches products across retailers and manufacturers, adds attributes like material or size, and aligns them with your required taxonomy, all without touching live listings.
Product Attribute Enrichment
What data sources do you mine, and how do you verify the information is trustworthy?
We combine three primary streams of input: your first-party catalog feed, a constantly refreshed library of manufacturer PDFs and spec sheets, and global web-scraped data from distributors, retailers, marketplaces, and review sites. Each candidate attribute is cross-checked against multiple independent records; values that align across at least two trusted sources are accepted automatically, while any discrepancies trigger a confidence-scoring workflow. Low-confidence fields are flagged for human review, and the audit trail records exactly which sources supported (or contradicted) every data point, so you always know where the final value came from and why it was chosen.
How does the computer-vision engine extract attributes from images and diagrams?
Our CV pipeline runs optical character recognition (OCR) on product photos, exploded views, and technical drawings to capture text that standard crawlers miss, think model numbers etched on a PCB or dimensions printed inside a size chart. It then uses object-detection models fine-tuned for retail to identify visual cues such as fabric textures, color tones, connector types, or packaging icons. These signals feed a rules-based parser that converts them into structured attributes (e.g., “Material = 100 % cotton”, “Cable = USB-C”), complete with bounding-box metadata for traceability. The image-derived values are ranked alongside textual data from feeds and PDFs, giving your listing a single, reconciled truth set.
How long will enrichment take for my catalog, and what operational effort is needed from our side?
Processing time scales with both SKU count and attribute complexity. As a benchmark, a catalog of 250 k SKUs with moderate attribute depth (≈40 fields per item) is typically enriched in 12-16 hours end-to-end, including data ingestion, attribute extraction, validation, and export. Your only task is to provide a data dump (CSV, JSON, XML, or API endpoint) and, if available, a folder or CDN link for images and PDFs. The enrichment runs in our elastic cloud infrastructure, so you don’t have to provision servers or manage workflows; you simply receive the finished files and a validation dashboard link.
How do you prevent duplicate products and resolve conflicting attributes from different suppliers?
We apply a multi-layer matching algorithm that weighs UPC/EAN codes, manufacturer part numbers, fuzzy title similarity, and visual fingerprinting. Potential duplicates must surpass a configurable confidence threshold across at least two of those dimensions before they are merged; otherwise they remain separate entries, flagged for manual inspection. Conflicting attributes are resolved with a weighted-trust model: manufacturer data outranks retailer content, retailer data outranks scraped reviews, and so on. The final choice is recorded in the lineage log so you can audit decisions at any time.
In what formats can you receive and return data, and how will it fit into our PIM or marketplace feeds?
Inbound, we accept flat files (CSV, TSV), spreadsheets, JSON, XML, and direct API calls. Outbound, you can choose between delimited files, Google Sheets, REST or GraphQL payloads, or turnkey connectors for the major PIMs (Akeneo, Salsify, Pimcore) and ERP systems (SAP, Microsoft Dynamics, Oracle NetSuite). We also provide plug-and-play templates for Amazon, eBay, Shopify, Adobe Commerce, Mirakl, and other marketplace schemas, with attribute names already mapped to each platform’s taxonomy so you can upload the results without extra transformation work.
How is long-term data quality maintained once enrichment is complete?
Every enriched field carries a “freshness” timestamp and a source fingerprint, letting the system re-crawl or re-ingest only the attributes that have aged beyond your chosen threshold (weekly, monthly, or custom). A continuous-monitor job checks new supplier feeds, price files, and web-scraped pages for changes; if a spec or dimension drifts, the item is re-validated and the delta is pushed to your PIM as a patch file. Quarterly health reports summarize fill rates, confidence trends, and any taxonomy shifts, so your catalog stays clean and current without recurring manual audits.
Product attribute enrichment
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