Blog
B2B PIM Solution: What Manufacturers and Distributors Actually Need
A B2B PIM solution has different requirements than B2C. Here is what manufacturers and distributors actually need.
PIM for PDF Generation: A Comprehensive Comparison
PIM for PDF generation and print automation: comparing SalesLayer, Catsy, AtroPIM, Pimberly, Plytix, and Dynamic Web. 132 chars
PIM Strategy: What It Is and How to Get It Right
PIM strategy explained: what it covers, why it fails, and how B2B manufacturers build one that holds up in practice.
PIM Classification: A Practical Guide
PIM classification defines which attributes each product type needs. Learn the difference from categories, which models work, and how to build one.
PIM System: Open Source Solutions Compared
Compare the leading open source PIM systems: AtroPIM, Akeneo CE, Pimcore, OpenPIM, and UnoPim. Features, licensing, and best-fit guidance.
PIM Demo: Who Offers What?
PIM demo: which vendors offer a public self-service demo, a demo with registration, or only a guided sales call? 18 solutions compared.
Choosing The Best PIM For Furniture Brands
PIM for furniture brands explained. What to look for, what to avoid, and how the right PIM furniture setup cuts catalog work.
PIM Onboarding: A Step-by-Step Guide for Teams
PIM onboarding done right. A practical step-by-step guide for teams rolling out a new PIM system without the chaos.
How PIM Workflow Management Works
How PIM workflow management works: stages, approval chains, data governance, audit trails, and what to look for in a system for complex catalogs.
PIM for Fashion: How to Manage Product Data Across Collections and Channels
PIM for fashion brands explained: how to manage product data across collections, sizes, colors, and sales channels without spreadsheet chaos.
Product Data Management Software: A Beginner's Guide
Product data management software explained: what PDM is, how it differs from PIM and PLM, key features, and which tools engineers actually use.
Product Data Management: Process That Works
A practical guide to the product data management process: intake, validation, enrichment, distribution, and governance that actually holds.