Intellectz / Curator

Curator

A salesperson for every visitor to your store — fashion, furniture, any catalogue.

PRODUCT WALKTHROUGH / SYNTHETIC TEST DATA

A recommendation grounded in a catalogue.

An isolated QA store imported one public Zyvorah product. A synthetic shopper request produced one catalogue recommendation and a saved conversation. This demonstrates catalogue grounding and the review screen; it is not a customer sales result or a live storefront installation.

No customer data. Screenshots show actual QA output; downloadable inputs let you inspect the workflow. Product access and usage limits still apply.

Open Curator ↗
Curator QA workspace showing one imported public product and a saved test recommendation
The problem

Your website has traffic — and no salesperson. They came to buy; nobody sells to them.

The outcome

An AI that talks to your shoppers, understands their taste and sells from your live catalogue, in your voice.

How to begin
01 / CONTEXT

Connect the catalogue.

Enter your Shopify or WooCommerce store, or a public JSON product feed for your own website.

02 / REVIEW

Install and test.

Add the provided widget to a test page and ask a representative product question. Confirm the recommendation matches your catalogue.

03 / NEXT STEP

Review conversations.

Inspect recommendations and product-link activity. These signals measure shopping interest, not attributed revenue.

Connected products
Begin with one real workflow

What should your
business do next?

Bring the work that keeps coming back to you.
We’ll map the inputs, decisions, actions and evidence.

Book an intelligence audit ↗