Try AI-powered attribute and product tagging

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Purpose-built for ecommerce product tagging at scale

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Multi-source AI tagging

Unlike basic tagging tools, eComNeo combines product descriptions, images, and vendor feeds to deliver more accurate and context-aware product tagging.

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Taxonomy-based product tagging

Our AI-powered tagging platform applies tags aligned to your catalog structure, ensuring consistency across categories, marketplaces, and existing systems.

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Built for large, complex catalogs

eComNeo handles large SKU volumes, frequent catalog updates, and multi-vendor data without creating inconsistencies in ecommerce product tagging workflows.

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Continuous Learning with Feedback Loops

Product tagging accuracy improves over time based on real catalog changes, corrections, and new data inputs.

AI-powered ecommerce images within minutes

On-model imagery built for every ecommerce category

Fashion & Apparel

Improve product tagging for ecommerce with AI-powered image recognition and text analysis to accurately tag size, color, fit, and fabric across large SKU volumes. Ensures consistent item tagging, enabling better filtering and faster product discovery.

Fashion apparel

Electronics & Gadgets

Speed up product attribute tagging using NLP models to extract technical specifications, features, and compatibility details from complex product data. Improve product comparison, search relevance, and filtering accuracy.

manage your product catalogs 10x faster

Home & Furniture

Capture details like dimensions, materials, finishes, and styles for home and furniture products to improve filtering based on size, space, and style preferences. Enable customers to quickly find and buy products from large catalogs.

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Beauty & Personal Care

Ensure accurate tagging using AI-driven text parsing to identify and capture ingredients, variants, shades, and product types across catalogs. Create smooth filtering and shopping experiences that build brand loyalty.

achieve 5x conversions with personalization

Marketplaces

Automate product tagging across multi-vendor catalogs with AI models that normalize and enrich data from diverse vendor feeds. Improve consistency across seller listings and reduce manual cleanup, even as new products are continuously added.

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Product tagging that drives measurable ecommerce performance

Higher product discoverability

Products consistently appear in relevant searches, categories, and recommendations with accurate and comprehensive tagging.

Search aligned to customer intent

Accurate product attribute tagging helps the right products show up for broader and more specific searches, instead of missing or mismatched results.

High-precision filtering experience

Consistent product tagging supports granular filtering across large catalogs, improving navigation and usability.

Standardized catalog structure

Reduced inconsistencies across product listings minimize repetitive data cleanup, and improve efficiency in managing large catalogs.

Accelerated catalog readiness

Automated ecommerce tagging workflows reduce manual effort and speed up product onboarding and updates.

Improved conversion outcomes

Well-structured and enriched data helps customers find the right products faster, improving engagement and purchase outcomes.

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