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Enterprise Layer Intelligence
Categories/Ecommerce/Anglera
Anglera

Anglera

Founded by Amay Aggarwal

Extract product attributes from supplier documents and automatically fill catalog gaps

Pricing model

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Anglera to clean up and enrich incomplete product catalogs for retailers, distributors, and brands. The system extracts technical specifications, dimensions, and attributes directly from supplier spec sheets, PDFs, images, and manufacturer websites. It automatically normalizes units, maps products to your category taxonomy, and scores data quality against custom rules. You can sync enriched catalog data bidirectionally with existing product information management systems, ecommerce storefronts, and marketplaces, ensuring every item has complete, accurate product details that buyers and search engines can easily find.

What Anglera does

Extract technical specifications from PDF user manuals and spec sheetsNormalize measurement units and formatting across thousands of SKUsMap supplier product feeds to standard internal taxonomiesSync enriched product attributes directly into enterprise PIM systemsFlag and review low-confidence catalog data before publicationTrack source provenance for individual product specification valuesIdentify missing catalog attributes that cause failed buyer searchesAttribute extraction from supplier PDFs, spec sheets, and imagesAutomated attribute schema generation by categoryTaxonomy classification and catalog mappingUnit and vocabulary normalization across diverse suppliersBidirectional synchronization with existing PIM and ERP systemsSource citation and provenance tracking for every attribute valueContinuous catalog quality scoring and guardrail validation

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

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Anglera, product data enrichment, catalog enrichment, PIM sync, supplier onboarding, spec sheet extraction, attribute extraction, ecommerce catalog, taxonomy mapping, product information management, data normalization, retail data, distributor catalog, SKU enrichment, product specs