Who it is designed for
Retailers, brands, and wholesale teams producing recurring product catalogs, weekly offers, lookbooks, and buyer collections.
Explore the industriesCatalogues AI is designed for retail, brand, and wholesale teams that want a repeatable catalog workflow, brand consistency, and an editable source for their designers.
Bring your product range and a reference for your brand. The proposed workflow connects product data, reusable templates, a design review, and publishing in the formats your team needs.
Retailers, brands, and wholesale teams producing recurring product catalogs, weekly offers, lookbooks, and buyer collections.
Explore the industriesThe proposed workflow starts with a prompt and a pasted product list, website, feed, or spreadsheet. Choose a brand template, reuse a past catalog, or ask AI to suggest a layout.
Follow the workflowProposed deliverables include editable InDesign layouts, PDF, web, EPUB, campaign images, and PowerPoint decks. Standalone HTML, selected SVG assets, and product-data handoffs can be scoped separately.
Review the file formatsThe working viewer demo includes responsive pages, product details, search, favorites, zoom, keyboard navigation, and page sharing.
Open the viewerThe analytics preview demonstrates page engagement, product clicks, heatmaps, and suggested product placement using fictional data. Sales attribution would require connected store events.
Explore the report exampleTry the local creation walkthrough and the six-page viewer. The walkthrough edits sample content; it does not import a website or generate export files.
Create and edit a sampleExplore the viewer as a reader, then try the creation walkthrough as a brand team. Use the examples to assess the design, editing controls, and proposed handoff against the way you already work.
Catalogues AI is a catalog creation platform in development for retail, brand, and wholesale teams. The proposed workflow combines product data, reusable brand templates, an editable design handoff, and digital publishing. This site currently provides interactive product previews.
It is designed for teams producing recurring product catalogs, weekly offers, lookbooks, and wholesale collections, especially when brand consistency and a designer-editable source are important.
That is the intended workflow: describe the catalog in plain language, add a product list or connected product source, choose a template or suggested layout, and refine the draft. Product details and missing images, prices, or links need review. The current website demonstrates local editing with sample products; live generation and imports are still in development.
The proposed workflow uses an existing catalog or brand reference as a starting point. Reusable elements, layout rebuilding, product data, and asset requirements need to be reviewed for each project.
Editable InDesign layouts through IDML are a proposed project deliverable, alongside PDF, EPUB, and web editions. The current website does not generate these files; final formats and production requirements must be confirmed for the project.
The proposed options include fixed-layout or reflowable EPUB, campaign images in PNG, JPEG, or WebP, and PowerPoint decks. Standalone HTML packages, selected SVG assets, and product-data tables in CSV or XLSX can also be scoped. These are delivery options; the website does not currently generate export files.
The proposed digital edition links products to their store pages and measures product clicks and store visits. Purchase attribution requires connected store events. The current viewer and analytics examples use fictional products and data; live checkout and production tracking are not connected.
The website includes a working six-page catalog viewer, a local create-and-edit walkthrough, and interactive analytics examples. Products and analytics data are fictional. Favorites and draft edits stay in the current tab and reset on reload.
No public pricing is listed. This site is an early product preview, and its current enquiry form is a demo that does not send messages.
The workflow page contains an editable planning model for manual work, review time, per-edition preparation, and one-time setup. Its estimates are illustrative assumptions, not measured Catalogues AI performance. Actual savings need to be established in a pilot with the team’s data and template.
The browser demos require no application installation. Production setup still depends on product-data checks, brand-template approval, and any needed connections. No production setup-time benchmark or zero-setup promise has been established.
No. The workflow page cites vendor-reported comparisons for other brands. They are not Catalogues AI customer results, proof of extra sales caused by catalogs, or a forecast of what another business will achieve.