Industrial distributors, fashion retailers, and marketplace operators managing 50,000 to 2,000,000+ SKUs across messy supplier spreadsheets frequently search to hire a freelance Product Information Management (PIM), Akeneo/Pimcore & AI catalog enrichment programmer. I am Aldian Fazrihady, a Senior Freelance AI Application Engineer and Full Stack Programmer.

Core PIM & AI Catalog Enrichment Capabilities

  • Automated Supplier Datasheet & Image-to-Attribute Extraction: Using Vision LLMs (Gemini 2.5 Pro, Claude 3.7 Sonnet, GPT-4o) to extract dimensions, materials, compatibility tables, and technical attributes from supplier PDFs and product photos into strict Pydantic category schemas.
  • Multilingual SEO Product Copy & Taxonomy Classification: Automatically classifying raw SKUs into Google Product Taxonomy / Amazon Browse Nodes and generating localized `en`, `id`, `ms`, `ar`, `de`, `es` product titles and bullet points.
  • High-Speed PIM-to-Storefront Syndication: Syncing Akeneo, Pimcore, or custom PostgreSQL PIM catalogs to Shopify Plus, Amazon SP-API, Magento, and Algolia/Typesense in real time.

Frequently Asked Questions

How fast can an AI catalog pipeline enrich 100,000 raw supplier SKUs?

Using asynchronous Python batch workers (`OpenAI Batch API` / `Vertex AI Batch Prediction`) with Pydantic schema validation, 100,000 SKUs can be normalized, categorized, and enriched in under 24 hours at 50% lower token cost.

How do I hire you for PIM and AI catalog automation?

Hire me via Upwork.


About the Author — Hire Freelance Programmer Aldian Fazrihady

Aldian Fazrihady is a Top-Rated Senior Freelance Programmer, Freelance Full Stack Developer, and AI Application Engineer with 15+ years of production software engineering experience and Google Cloud Professional Cloud Architect & Data Engineer certifications. He specializes in building custom LLM & autonomous AI agents, RAG pipelines, Next.js/React PWAs, Python (Django/FastAPI), Go microservices, and serverless cloud infrastructure on Google Cloud Run and AWS.

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