Struggling with messy product data and spreadsheet chaos? Learn the key takeaways from a PIMVendors x KatanaPIM talk on building a single source of truth, using AI effectively, and scaling faster across channels and markets.
Groei legt operationele scheuren bloot. Ontdek de 3 productdatabottlenecks die wereldwijde uitbreiding vertragen en hoe merken ze kunnen wegnemen om sneller te schalen.
Growth exposes operational cracks. Discover the 3 product data bottlenecks that slow down global expansion and how brands can remove them to scale faster.
AI-driven shopping is accelerating fast — and retailers with messy, scattered product data will fall behind. Discover why centralized, validated product information is the key to winning in the era of agentic commerce, and how a PIM helps your business stay ahead of the AI curve.
Discover the KatanaPIM + Fozzels integration — the AI-powered extension that transforms how ecommerce teams create and manage product content. Automate descriptions, translations, and visuals directly in your PIM for faster, scalable growth.
Discover insights from Stephan Spijkers (PIMvendors.com), Emile Valkestijn (10XCREW), and Luc Smeets (KatanaPIM) on building a product data engine for omnichannel success. Learn why ownership, collaboration, and starting small are key to achieving consistent product experiences across every channel.
Discover how agentic commerce is transforming online shopping through AI-driven experiences — and why structured, validated product data is the foundation for success. Learn how a strong PIM setup empowers smarter automation, better personalization, and seamless AI integration.
Discover 4 real PIM use cases that every growing retailer can relate to. Learn how a PIM helps centralize product data, simplify multi-channel selling, improve content quality, and scale efficiently across new markets.
A fast-growing retail company hit a breaking point when its systems couldn’t keep up. Discover how a PIM solution like KatanaPIM helps bring structure, stability, and scalability to businesses outgrowing their tech stack.