From the Paladio lab.
Practical research on catalog agents, agentic commerce, and what it takes to make AI work in enterprise systems.
Start with the complete guide: Agentic Commerce, explained →
What Are Catalog Agents? (And Why a PIM Can't Do What They Do)
Catalog agents are purpose-built AI systems that extract, classify, verify, and connect product data at scale. Here's what each one does — and why the category exists.
Your Products Are Being Filtered Out. Not Ranked Down — Filtered Out.
AI shopping agents don't rank results. They eliminate candidates that fail structured constraints — a product that disappears from ChatGPT was excluded before the shortlist formed.
What Is Catalog Readiness? (It's Not the Same as Clean PIM Data)
Catalog readiness is whether each SKU carries enough structured signal for an AI agent to retrieve, filter, compare, and transact on it — without a human catching exceptions.
Catalog Agents vs PIM: Same SKUs, Different Jobs
Your PIM tracks what exists. Catalog agents decide whether it's correct. Here's the exact line between them — and why most teams with data-quality problems already have a PIM.
How Catalog Agents Extract Product Attributes at SKU Scale
How agents pull explicit, structured attributes out of messy source data — images, PDFs, and inconsistent feeds — across millions of SKUs.
When Your Supplier Data Looks Complete, But Your Listings Still Fail
Why complete-looking supplier data still produces failed listings — and how normalization fixes the mismatches an agent can't reason past.
Winning in Agentic Commerce
A Product Detail Page has to act as an API documentation page for AI crawlers while remaining an evocative storefront for human buyers.
The Agentic Commerce Readiness Checklist: 3 Buckets, 25 Checks
A practical checklist for whether your catalog can be acted on by AI shopping agents. Each check maps to a specific failure mode at retrieval, filter, comparison, or transaction time.
How to Run a Catalog Readiness Assessment (Before Your Channel Does)
A step-by-step framework for scoring your catalog across three readiness buckets at the product level — so you know what to fix before it costs you a listing or a recommendation.