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E-commerce & retail

Supplier Catalog to PIM

Pulls product data out of messy supplier PDFs and feeds a clean, structured PIM.

E-commerce / RetailE-commerceDocumentsData extractionPIM

An extraction pipeline for e-commerce teams that takes the stream of supplier PDFs, each in its own format, and uses AI to pull out every product’s details, structured and ready to load into a PIM.

A pile of supplier PDFs in twenty different layouts becomes clean, structured product records, ready to load, not re-typed.

The challenge

E-commerce teams receive product information as PDFs from dozens of suppliers, each laid out differently. Re-keying it into the product catalogue by hand is slow, error-prone and never keeps up with new ranges.

What we built

  • Ingests supplier PDFs in whatever format each supplier uses.
  • Extracts every product’s attributes, names, specs, codes, pricing, with AI.
  • Structures the data to match the PIM’s schema.
  • Delivers clean, consistent records ready to load into the PIM.

How it works

  1. 1

    Upload a batch of supplier PDFs.

  2. 2

    AI extracts each product’s attributes.

  3. 3

    Structured records are exported to the PIM.

Key capabilities

Any-format ingestion

Handles supplier PDFs regardless of their layout.

Attribute extraction

Pulls names, specs, codes and pricing per product.

PIM-ready structuring

Maps extracted data to your catalogue schema.

Bulk processing

Processes large batches of supplier documents at once.

The payoff

  • Product data extracted without manual re-keying.
  • New ranges go live faster.
  • Consistent records regardless of supplier format.

Built with

LLMDocument parsingPDF.jsStructured extraction

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