·Catalog & PIM Ops
Your PIM is a filing cabinet. So who's doing the work?
A PIM stores product data beautifully. It doesn't gather it, clean it, enrich it, or fix it when it's wrong. That gap is where most catalogs quietly fall apart.
Read moreTopic
Collecting, normalizing, and enriching product data at scale, without the manual grind.
A PIM stores product data beautifully. It doesn't gather it, clean it, enrich it, or fix it when it's wrong. That gap is where most catalogs quietly fall apart.
Read moreGoogle's UCP lets shoppers buy straight from AI Mode and Gemini — but your product feed decides whether you even show up. Here are the 6 things that put you in the cart (and keep you out).
Read moreIn 2023, NAED found poor product data costs electrical distribution over $2B a year. In 2026, that same data decides whether AI engines and a younger generation of buyers ever find you.
Read moreA blank GTIN field doesn't throw an error. It just makes your product harder for a machine to identify, trust, and recommend — so it gets passed over.
Read moreWhen an AI agent does the shopping, it never sees your homepage, your hero image, or your brand video. It reads your feed. That's the whole storefront now.
Read moreAI shopping engines don't reject your products loudly. They filter quietly, on data they can't read. Here are the 5 gaps that do it most — and how to close them.
Read moreYou compete to sell the same parts as everyone else. The catalog isn't the bottleneck — the content is. Here's how to think about it.
Read more