Turn sparse vendor flat files and PDF spec sheets into clear, enriched product data that powers AI search, search engines, and high-converting product pages. Pumice.ai automates SKU onboarding and product data enrichment with customizable AI endpoints, turning junk vendor data into structured, sales-ready listings that improve titles, descriptions, and attributes while meeting every third-party channel's requirements.
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The product data enrichment platform used by ecommerce brands, distributors, and marketplaces
Most marketplaces, distributors, and retailers receive product data from vendors as sparse flat files or PDF spec sheets. It’s missing the descriptions, images, and attributes shoppers search for, so product teams spend most of their time manually turning raw vendor data into list-ready records. It only gets harder at scale. Across thousands of SKUs, enriching product data by hand is slow, inconsistent, and full of human error, and every third-party channel adds its own title, attribute, and compliance rules to meet.
Pumice.ai automates SKU onboarding and product data 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 enriched to your business rules, validated against your trusted sources, and formatted for every channel you sell on.
Pumice turns sparse, inconsistent vendor data into complete, structured content that is ready to list, rank, and sell across your store and every channel.
Turn sparse, inconsistent vendor files into structured records that follow your exact catalog format and business rules.
Generate the descriptions, attributes, and specs customers actually search for, written for SEO and on-site conversion.
Reformat titles, descriptions, and attributes to meet each marketplace's length, keyword, and compliance requirements.
Pumice.ai’s AI endpoints are built and trained entirely for product data enrichment, cleansing, categorizing, and completing every SKU. They generate attributes and content from your defined keys and run 1st-party SKU research, processing vendor PDFs and searching the web to fill gaps with grounded,
validated data and no hallucinations or made-up values.
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.
Generate channel-ready titles, descriptions, bullets, and attributes that meet each marketplace's length limits, required fields, restricted keywords, and compliance warnings, from your own site to Amazon, Walmart, and eBay.
Upload vendor catalog PDFs and flat files and Pumice breaks them into clean, structured product rows, with no manual data entry from your team.
Provide your brand guidelines, rules, and data schemas to control the structure of every product field you enrich. Set required values, formats, and validations so every output matches your standards on every run.
Manual product data enrichment 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.
Clean, complete product data doesn't just look better, it sells. Pumice optimizes every PDP with the keywords, attributes, and details that lift search rankings and turn more shoppers into buyers.
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.
Vendor flat files, PDF spec sheets, and half-finished pages used to mean days of manual data entry per batch. Pumice ingests and structures all of it automatically, so a new vendor catalog is ready to list almost as fast as it lands.
Faster onboarding means more SKUs live every month and more revenue, without adding headcount to your data-entry team.
Sparse, generic data loses the sale.
Pumice fills every field with accurate, validated details shoppers actually search for, so your PDPs rank higher, convert better, and drive fewer returns from the day they go live.
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.
Product data enrichment uses AI to read your product data, images, and source documents and fill in the attributes, values, 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.
