Catalog & data
PIM
Product Information Management
Definition
Product information management system — dedicated software for managing product data at scale, as distinct from using a platform's native fields for the same purpose.
Defined in The Agentic Commerce Glossary.
How else it gets framed
The same term carries different emphasis depending on the surface it’s used on. Both readings are correct.
A dedicated system that holds the master record for every product and syndicates channel-specific versions outward — to Shopify, Amazon, retail feeds, and marketplaces — with workflows, completeness scoring, and versioning on top.
Shopify Metafields vs. a PIM: Where Should Product Data Live? →Where PIM comes up
The guides that put this term to work, rather than just defining it.
- Catalog for AIShopify Metafields vs. a PIM: Where Should Product Data Live?
- Catalog for AIDesigning a Product Attribute Schema AI Can Use
- Catalog for AIEnriching a 10,000-SKU Catalog Without a Team of Ten
- Catalog for AICompatibility Data: The Attributes AI Agents Rely On Most
- ShopifyMigration to Shopify Without Losing Rankings or Data
- Catalog for AIVariant Data That Doesn't Confuse AI Agents
- Catalog for AIImage Metadata & Alt Text at Catalog Scale
- ShopifyShopify Theme Choice for the Agentic Era
- Agentic CommerceThe Agentic Commerce Readiness Checklist
Related terms
- Structured attribute
- A named, machine-readable field with a discrete value — material: leather, sleeve_length: short — as opposed to the same fact buried in a marketing sentence.
- Shopify metafield
- A custom structured field on a Shopify product, collection, or variant — the mechanism most mid-market merchants use to add attributes without a separate PIM.
- Product taxonomy
- The hierarchical category structure a catalog is organized under, which agents use to scope what "kind" of product they're reasoning about before checking specific attributes.
- Category attribute template
- A fixed, reusable list of the attribute fields every SKU in a given category must carry — e.g. every hiking boot gets material, closure, waterproof rating, sole type, weight — built once per category and then applied to every SKU in it.
- Compatibility data
- Structured "works with" or "fits" relationships between products, which agents rely on heavily because shoppers frequently ask compatibility questions by exact model or part.
- Constraint query
- A shopping request framed by conditions the answer must satisfy — a device it must fit, a system it must work with, a situation it must handle — rather than by a product category alone.
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