Messy catalog data in. Channel-ready products out.

CataZenta’s agents each own one job, such as sourcing, enrichment, SEO, translation, categories, duplicates, compliance and channel launch. They run on the products or categories you choose (on demand, on a schedule, or when products change once you switch automatic runs on) and their suggestions land in one approval queue. You can combine them into flows and build agents of your own.

Not by default. Agent suggestions wait in an approval queue until someone on your team approves them. Auto-apply is off by default and only works for agents you switch it on for. Reject a suggestion and nothing changes. Every agent suggestion records who approved or rejected it, and product edits keep a version history you can restore from. Zen AI makes the edits you ask for within your permissions, and confirms before it overwrites data, publishes or deletes.

Approve a selection in one step. Once you trust an agent, you can let it apply changes above a confidence level you choose; that stays off until you turn it on. New marketplace feed plans, category moves and new variants still wait for a person, and web-sourced values do by default. The Pricing optimization agent flags issues with suggested prices; it doesn’t change prices.

From your own catalog: attributes, categories, product families, media records and each channel’s export setup. Agents draft copy from that data. Once lookups are set up for your workspace, the Product sourcing agent can also look up missing specs on the web, and it shows the source link for every value it suggests so your team can check it.

Bring products in from ERP or PLM exports, supplier files, CSV and Excel, or the REST API. Publish directly to Amazon and Shopify, and to other marketplaces and retailers as CSV or Excel feeds. AI assistants such as Claude and ChatGPT can connect to your catalog through MCP (the open standard AI assistants use to call external tools), acting with the signed-in user’s permissions.

No. Start by importing a representative set of products from your current PIM or spreadsheets, run the agents on it, and compare the results. When you’re ready to move fully, see the migration path from a legacy PIM.

Each company’s data is kept separate from every other company’s, and access is role-based. Data is encrypted in transit and at rest in our databases and file storage, and secret credential fields such as marketplace passwords and tokens are masked in the app and API. We’re happy to take your team through a security review.