PIM & MDM: Insight
Product information and master data management: choosing, implementing and running PIM and MDM, data models, governance and standards such as GDSN.
Your DAM and Your PIM Are Probably Not Talking. Here’s Why That Costs You.
A product manager updates a spec sheet in the PIM. Three weeks later, the product image on the retailer site still shows the old packaging. Nobody did anything wrong. The two systems that should have kept each other in sync simply never had a conversation. This happens constantly, and it… Read More
What Product Data Teams are Really Dealing With
At this year’s GS1 Connect 2026 in Las Vegas, Sitation surveyed product data and supply chain professionals to take the temperature on master data management. Taking a look at the challenges, the team dynamics, the tools, and the state of AI adoption, the results paint a clear picture: the industry… Read More
What Is ETIM, and Why Are Your Biggest Customers Asking for It?
Sooner or later it happens: a distributor, a major retailer, or a customer’s procurement team asks for “your ETIM data.” And nearly every manufacturer who hasn’t gone through the process might respond with “right… let me get back to you on that.” Manufacturers, distributors, and retailers already juggle a multitude… Read More
GDSN Was Built for This: How AI Finally Unlocks the Standard’s True Potential
The data model was built to handle extraordinary complexity. AI is what finally makes that complexity manageable. Spend enough time in the world of GDSN and you develop a certain appreciation for the standard. The data model is genuinely well-designed. Hierarchical trade item structures, target market… Read More
GS1 Standards Week 2026: Four Agenda Items That Will Shape Your Product Data
GS1 standards rarely get attention in boardrooms, but they quietly power the global supply chain. Global Trade Item Numbers (GTINs), Global Location Numbers (GLNs), and the Global Data Synchronization Network (GDSN) are the infrastructure behind accurate product data everywhere: from warehouses to retailers’ systems to customers’… Read More
Iterating With AI: How AI tools can improve PXM through your existing PIM
I’ve spent most of my consulting years focused primarily on Implementing and Integration PIM. But what happens after go live? Sure, there’s Hypercare and managed services around support, troubleshooting integrations, and maybe even new feature development for integrations. Often, there’s new catalog onboarding and expansion opportunities for the marketing or… Read More
Using LLMs for Data Cleanup – Managing Expectations, Process Explanation, Internal Costs, and Techniques
Or as I like to call it:“How to shove data into an LLM and not be sad” I made the leap back into consulting a bit more than a year ago, and it is common that clients have product or marketing data that can span hundreds of thousands of… Read More
Where should digital asset transformations happen: PIM or DAM?
A debate on transformation strategy and best practices for digital assets. Introduction: Setting the Stage The digital shelf is growing more complex every year. Retailers, distributors, and marketplaces all demand product content in slightly different formats, dimensions, and even seasonal or channel-specific versions. Brands are caught in the middle,… Read More
Navigating GDSN Blackout: Your Guide to a Smooth Data Pool Migration
Migrating your product data from one Global Data Synchronization Network (GDSN) data pool to another can feel like a complex journey. One term that often causes a bit of a stir is “blackout period.” But don’t worry, we’re here to demystify it and help you navigate… Read More
Creating a good Product Data Model and Common Missteps
A robust and well-structured data model is foundational for effective digital merchandising. It facilitates the organization of information, contributing to a more intuitive customer experience, increased conversions and business growth. Read More
