Blog
B2B Product Marketing Is Data Work: A Guide For Manufacturers With Complex Catalogs
B2B product marketing for manufacturers is data work: how launches depend on it and how Akeneo, AtroPIM, Inriver and Pimcore compare.
B2B Product Catalogue Management: Why It Differs From B2C And Which Tools Fit
B2B product catalogue management in practice: why it differs from B2C and how AtroPIM, Pimcore, Plytix and Sales Layer compare on features and price.
Product Content Syndication Software: What It Does and How It Relates to PIM
Product content syndication software explained: how it relates to PIM, who maintains channel requirements, pricing, GPSR and DPP data.
Choosing Product Information Management SaaS: Costs, Lock-In, AI And Compliance
Choosing product information management SaaS: a worked three-year cost example, Data Act exit rules, useful AI features and EU passport rules.
Product Information Management Benefits: What PIM Delivers in 2026
Product information management benefits in 2026: fewer returns, faster launches, DPP readiness, and AI that works on clean data. A practical guide.
Product Information Management Tool: How It Works When AI Reads Your Catalog First
How a product information management tool works now that AI assistants read product data first: core mechanisms, AI feeds, DPP, and risks.
Product Information Management In Retail: What European Retailers Need To Know
Product information management for retail: how retail PIM handles supplier data, the EU €3 parcel duty, GPSR, EAA and DPP rules, and what to look for.
Product Information Management for Ecommerce: How AI Changed Product Data and Buyer Expectations
Product Information Management for ecommerce now serves AI agents as well as shoppers. What changed, which risks are live, and how PIM software keeps product data accurate.
The Product Detail Page Now Has Two Readers: Shoppers and AI
AI assistants now pre-sell products. See how the product detail page changed, which risks matter now, and how PIM keeps PDP data accurate.
Product Information Management AI: What Works in Practice and What Still Needs People
Product information management AI in practice: attribute extraction, generated content, AI shopping feeds, current risks, and the human review it needs.
Product Content Review: How to Catch Errors Before They Go Live
Product content review in practice: what to check, how PIM rules and AI share the work, and which EU compliance checks matter now.
Product Content Specialist: How AI Changed the Work And The Audience
A product content specialist now writes for shoppers and AI assistants. How the daily work, the audience, the risks, and the tools have changed.