Agentic PIM & product data

Turn supplier chaos into trustworthy product data.

We build product-data pipelines that read supplier PDFs, spreadsheets, catalogs and complex specs, returning verified attributes with source confirmation instead of invented content.

Documents become product facts. Supplier materials become structured fields instead of unreliable copy-paste.
No AI guesswork. Values that can't be confirmed by a source go to review.
Export becomes repeatable. Clean records can feed your online store, PIM, database or internal processes.

What disappears from catalog work.

Manual attribute huntingStaff no longer need to re-read the same PDFs and spreadsheets over and over.
Unverifiable valuesEvery important field links to the original source or is marked as undefined.
The one-off cleanup trapThe goal is a repeatable data pipeline, not a one-off manual table parse.

What becomes controllable.

Your schemaAttributes, categories, units, variants and exceptions follow your rules.
Your review gatewayOnly undefined or disputed values need a human decision.
Your export formatRecords are prepared for PrestaShop, Shopify, WooCommerce, Akeneo, CSV or SQL.
What is an agentic PIM pipeline? A controlled product-data process where AI agents extract, verify, normalize and flag values instead of blindly generating descriptions. Technical details

Pipeline stages

  • Collecting data from PDFs, spreadsheets, catalogs or supplier sites.
  • Extracting attributes according to the given schema.
  • Unit normalization, category mapping and duplicate checks.
  • Evidence validation and human review of disputed fields.

Reliability rules

  • No invented parameters when specs are missing.
  • Required attributes are flagged, not skipped.
  • Conflicting sources go to manual moderation.
  • Exports are checked before loading into the working catalog.
Where it helps Best for product data repeated across many SKUs, suppliers, categories or languages. Technical details

Who it fits

Complex technical products, auto parts, heating and plumbing, electronics, industrial catalogs, multilingual e-commerce where spec errors cause returns.

agentic PIM spec extraction PDF to product database catalog enrichment

Initial diagnostics

You can start with 20–50 product samples, 2–5 supplier documents, the required spec list and your desired export format.

schema mapping source links attribute validation PIM automation
PIM pilot project

Automate your catalog loading.

Send us one complex product datasheet or a 10-item Excel table. We'll configure the extractor and return a clean structure with exact references.