The Prodigy AI Pipeline

From a spreadsheet to a
complete product catalogue.

Prodigy AI takes raw, incomplete product data and transforms it into rich, structured listings ready for eCommerce, PIM and ERP — through a four-step automated pipeline that requires no manual intervention.

The pipeline

Four steps. Fully automated.

Each step in the Prodigy pipeline is designed to maximise data accuracy while minimising your team's effort.

1
Input

Upload your data

Start from an Excel file or structured data. Even a partial list of product codes is enough.

2
Discover

Source analysis

Prodigy scans the web and identifies the most authoritative sources for each product.

3
Understand

AI comprehension

The AI reads, interprets and extracts the most relevant data from every source found.

4
Enrich

Ready-to-use output

Structured, enriched product data delivered for eCommerce, PIM, ERP and internal systems.

Step 01 — Input

Start from what you already have.

You don't need perfect data to get started. Prodigy AI is designed to work with whatever you have — from a complete product database to a bare list of codes and names scraped from a supplier catalogue.

Excel files (.xlsx, .csv) with any column structure
Existing ERP or PIM exports in any standard format
Bare lists of product codes, EANs or manufacturer part numbers
Partial data — even a name and a code is enough to begin
Step 02 — Discover

Prodigy finds the most authoritative sources — automatically.

For each product in your list, Prodigy AI searches the web and its knowledge base to identify the highest-quality sources: manufacturer websites, official datasheets, PDF catalogues, technical documentation and authoritative public databases.

Manufacturer and brand official websites
PDF catalogues and technical datasheets
Industry databases and standards bodies
Source reliability scoring to prioritise accuracy
Step 03 — Understand

The AI reads and interprets every source, including complex PDFs.

Prodigy AI doesn't just scrape text — it understands context. Using advanced NLP and document analysis, it reads manufacturer PDFs, extracts technical tables, parses specifications, and identifies the most relevant images, associating everything correctly to each product.

Deep PDF parsing, including complex technical tables
NLP-powered extraction of specifications and attributes
Intelligent deduplication across multiple sources
Image identification and association per SKU
Step 04 — Enrich

Complete, structured product data — ready to use.

The final output is a fully enriched product record for every SKU in your catalogue. All data is normalised, structured and formatted to be immediately importable into your eCommerce platform, PIM, ERP or any internal system — with no manual clean-up required.

Full product descriptions, SEO titles and meta tags
Structured technical attributes in your preferred schema
High-quality product images sourced and linked
Export formats: JSON, CSV or XML

Quality & Control

You stay in control.

Prodigy AI automates the heavy lifting, but your team always has the final word. Every enriched record can be reviewed, adjusted and approved before going live.

🔍

Review dashboard

A clear, structured interface to review AI-generated data product by product before importing it into your systems.

✏️

Human-in-the-loop editing

Edit any field inline. Your corrections feed back into the model to improve future enrichment quality for similar products.

📊

Confidence scoring

Every enriched field carries a quality score. Low-confidence records are flagged automatically for priority human review.

Ready to see it in action?

Request a free demo and let us run Prodigy AI on a sample of your catalogue — no commitment required.

Request a free demo → Explore features