In this PIMvendors Academy session, Stephan Spijkers gives a clear, practical walkthrough of the modern Product Data Process and shows how every step of it is being transformed by artificial intelligence.
He explains what PIM is (and what it is not), breaks down the full onboarding → enrichment → publication workflow, visualizes the product data model, and demonstrates how AI supports classification, translation, attribute generation, image-based enrichment, channel-specific mappings, and workflow automation. This session is filled with actionable insights for anyone working with PIM, product content, e-commerce, or enterprise data architecture.
Speakers:
Stephan Spijkers – Co-Founder, PIMvendors.com
Key Takeaways:
- PIM sits at the center of product data operations: onboarding, enrichment, workflows & publication.
- MDM, DAM, PLM, and ERP play different roles — PIM focuses on customer-facing product data.
- The Product Data Model consists of master data, rich data, and relationship layers.
- AI now impacts every step of the Product Data Process, from classification to publication.
- Workflow orchestration, approvals, and dashboards ensure high-quality, consistent product data.
- Dual-environment PIM setups improve governance and versioning.
- Companies can use PIMvendors’ independent guidance for PIM selection, architecture, or fractional CDO support.
Want to dive deeper and discover the best tools, comparisons, and expert advice? Visit PIMvendors.com now — your go-to resource for everything related to Product Information Management.
