Pumice.ai's automatic product enrichment system transforms chaotic catalogs into structured, validated product data that powers better shopping experiences, from site search & product finders, to enriched PDPs.
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The ecommerce product enrichment platform trusted by huge brands
What actually moves revenue is helping shoppers find, compare, and confidently buy the right product every time. Once your catalog grows into thousands of SKUs, tagging and enriching product data by hand can’t keep up. It’s slow, inconsistent, and full of human error.
Pumice.ai automates product attribute creation and enrichment.
It goes deeper than enrichment: our AI agents handle the product research needed for high-quality attributes, so you start at supplier catalog onboarding instead of after the manual work. Every data point is validated against your trusted sources.

Pumice.ai goes beyond accurate labels. Clean, structured attributes power how shoppers search, filter, and discover products across your entire store.
Auto-populate filters for size, material, style, and more so shoppers can narrow results without the guesswork.
Connect the words customers actually type to the right products, closing the gap between queries and your catalog.
Semantic attributes on every SKU cut down no-match searches and turn more browsing into buying.
Pumice.ai’s AI endpoints are built and trained entirely for product data, categorizing to your taxonomy, generating attributes from your defined keys, and researching the web for grounded,
validated data with no hallucinations or made-up values.
Upload any product taxonomy tree and fit products to the correct category with over 97% accuracy. Fine-tune a model to optimize your own pipeline.
Use generative AI to create tags, features, and attribute values from your defined keys. Fine-tune a model to extract new fields or higher-order data.
Our product research pipeline surfs the web, on specific sites or open domain, to find real product data to enrich spec sheets and vendor files. No hallucinations, no made-up values. All data can be validated against your trusted sources.
Upload vendor catalog PDFs and flat files and Pumice breaks them into clean, structured product rows, with no manual data entry from your team.
Manual product tagging and data entry is slow, inconsistent, and error-prone. Pumice automates the entire workflow with AI agents built for product data. Your team spends less time researching SKUs and inputting data, and more time turning it into high-ROI PDPs.

Without buyer-aligned product tags, your products are invisible to shoppers online. Remove the misalignment before shoppers buy someone else's product.

Whether you have 100 or 100,000 SKUs, Pumice.ai’s enrichment pipeline is completely customizable to the exact data points you want enriched, and how. Rules, validations, focus areas, and structured value lists are configurable on every run you do.

New vendors, fresh inventory, and seasonal swaps used to mean endless manual upkeep. Connect Pumice's agentic framework to your catalog and product data stays enriched, deduped, and on-brand without anyone lifting a finger.

Create rich, structured attributes and values from your existing specs, images, and vendor files.
Turn sparse vendor flat files and PDF catalogs into complete, validated product records in minutes.
Generate descriptive, buyer-aligned tags for every SKU, structured to your own attribute schema.
Auto-generate optimized category and collection pages from enriched product data and target keywords.
Keep your whole catalog current, deduped, and synced to your PIM with always-on agents.
AI agents research the web and your 1st party data to find and validate missing product data.
Pumice.ai integrates with Salesforce, SAP, and any CMS, CRM, ERP, or PIM to keep enriched attributes consistent across systems.






Pumice.ai's product data enrichment tools are built for complex catalogs
Improve conversion rate with buyer-aligned filters and natural language search.
Standardize vendor-provided flat files to your specific catalog and product data standards.
Standardize product data to 3rd-party channel-specific guidelines, rules, and best practices. One click goes from your catalog to theirs.
Your product data is scattered across vendor flat files, PDF catalogs, spec sheets, and half-finished product pages. Pumice pulls it all into one clean, structured, validated source of truth.
Standardized, accurate product data doesn't just lift your visibility in search and across every channel. It gives your team a reliable foundation to make faster decisions and drive revenue higher.
No more thin, siloed, or half-filled product records.
Pumice researches, generates, and validates every attribute against your trusted sources, turning sparse data into rich, buyer-ready PDPs in a single click.

Run products through our PDP Optimization Pipeline to automatically optimize for the keywords and AI search queries you care about. Real competitor analysis, gap analysis, and keyword research for every product.

Automated product tagging uses AI to read your product data, images, and source documents and assign the attributes, tags, and metadata each SKU needs. With Pumice, that means going from a sparse vendor flat file or PDF catalog to a complete, structured product record in minutes. Every tag is generated against your own attribute schema and validated, so your catalog stays consistent and search-ready without manual data entry.
Pumice's AI agents are built and trained specifically for product data, not general-purpose models. They classify products to your taxonomy, generate attribute values from your defined keys, and research the web and your 1st-party data to fill in anything missing. Because every value is grounded in a real source, you get accurate, buyer-aligned tags at scale instead of hallucinated guesses.
Yes. Pumice is designed to run across catalogs from a few hundred SKUs to millions, processing them in batches without slowing down. You can connect our agentic framework directly to your PIM or catalog and enrich, dedupe, and sync products on autopilot. Whether you are onboarding a single new vendor file or re-enriching your entire catalog, the pipeline scales to fit.
Most tools stop at enrichment. Pumice also handles the product research process needed for high-quality attributes, grounding every value in validated, trusted sources with no hallucinations or made-up data. Every enrichment endpoint is fully customizable per run, with your own rules, validations, and structured value lists. That means you can start at supplier catalog onboarding instead of cleaning up after manual effort.
Consistent, enriched product data gives search engines and AI answer engines a clear, structured understanding of every product, which lifts your visibility and rankings. Pumice runs products through a PDP optimization pipeline that adds target keywords, fills the gaps your competitors rank for, and structures attributes for faceted search. The result is more discoverable product pages across Google, marketplaces, and AI search, without manual keyword work.
With Pumice.ai, we automated SKU onboarding end to end — turning vendor files into enriched, validated product data in hours instead of months.VP of Ecommerce, enterprise retail brand
Go from sparse vendor flat files and PDF catalogs to enriched, validated product data — on autopilot.
