AI-Powered Product Data Enrichment Platform

Industry

E-commerce / Data Operations

Region

Poland (EU)

E-commerce Automation Document Intelligence LLM Structurization Data Enrichment AI Workflow Orchestration

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AI-Powered Product Data Enrichment Platform

Client Overview

We developed a fully automated AI enrichment pipeline for a major Polish distributor managing thousands of SKUs. The system replaces months of manual catalog creation with a scalable workflow that handles sparse supplier data, complex schemas, and multilingual copywriting in a single, high-speed pass.

Challenge

Supplier data is often fragmented, missing technical attributes and inconsistent in quality. Each product category requires unique schemas and strict SEO standards. Manual enrichment fails to scale, while generic AI results in hallucinations and low-quality output that lacks brand voice and factual accuracy.

Solution

The platform orchestrates specialized AI engines to transform raw input into enriched, Akeneo-ready catalog files through a multi-stage process:

LLM Structurization Engine — extracts and validates technical attributes against specific product family schemas with unit-of-measure conversion.
Automated Web Research — fills missing data from cited web sources with full traceability and confidence scores (1–5).
Quality Validation Framework — evaluates attribute credibility and flags low-confidence products for human review.
Document Intelligence — indexes technical PDFs and spec sheets as primary context to ensure factual accuracy and prevent hallucinations.
AI Copywriting & SEO — generates brand-consistent, SEO-optimized descriptions and manages multilingual output in one pass.

Key Outcomes

Catalog Creation: Months → Days — The pipeline replaces routine manual entry with automated high-speed processing.
Traceable Data Quality — Every enriched attribute is scored for credibility and linked to its original source for full transparency.
Unified Multilingual Workflow — Polish, English, and other target locales are generated simultaneously without separate translation steps.
Scale Without Headcount — Adding new product families requires only schema configuration rather than additional engineering or manual labor.

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