From Database to Digital Catalog: Automating Product Publishing

There's a strange irony in how most businesses handle product catalogs. They've automated their inventory tracking, their order processing, their accounting, their email marketing, their shipping—but when it comes time to produce a product catalog, someone opens InDesign or PowerPoint and starts dragging images around manually.

This isn't a small problem. For companies with hundreds or thousands of products, manual catalog creation eats up days or weeks of work every time. And it produces catalogs that are outdated the moment a price changes or a product gets discontinued.

The fix is connecting your product database directly to your catalog generation process. Here's how that works in practice.

The Manual Catalog Problem

Let me describe the workflow I see at most B2B companies, because if this sounds familiar, you're not alone:

1. Someone exports product data from the database or ERP into a spreadsheet
2. Someone else (or the same person, wearing a different hat) opens a design tool
3. They manually create page layouts and copy product information from the spreadsheet into the design
4. Images are sourced from a shared drive, a DAM system, or downloaded from the website one by one
5. The catalog is reviewed, corrections are made, another round of reviews
6. The final PDF is generated and distributed
7. Within weeks, the catalog is already out of date because products changed

Every step in this process introduces delays and errors. And the whole thing repeats every quarter, every season, or whenever management decides the catalog needs an update.

What Automated Catalog Publishing Looks Like

An automated workflow replaces most of those steps with a direct pipeline from data source to finished output:

1. Product data lives in your database, ERP, or ecommerce platform
2. A catalog generation tool ingests that data—either through a direct integration, an API connection, a scheduled CSV export, or a manual file upload
3. Pre-designed templates define how products are laid out in the catalog
4. The tool generates the complete catalog automatically: images placed, text populated, variants tabulated, pages numbered
5. The output is a finished PDF, a flipbook, or both
6. When data changes, you re-run the process and get an updated catalog

The difference: step 3 through 5 happen automatically. The human effort is in steps 1-2 (setting up the data connection, which is done once) and step 6 (triggering an update, which takes minutes).

Connecting Different Data Sources

The practical question is: how do you get your product data from where it lives into a catalog generation tool? The answer depends on your systems.

Ecommerce Platforms (Shopify, WooCommerce, Magento)

This is the easiest scenario. These platforms have APIs that catalog tools can connect to directly. With Shopify, for instance, EasyCatalogs pulls products through the Shopify API with a single click—images, prices, variants, descriptions, metafields, everything. Other platforms work similarly through their respective APIs or via a CSV export of the product feed.

ERP Systems (SAP, NetSuite, Microsoft Dynamics)

ERPs are the source of truth for many manufacturers and distributors. They contain pricing, inventory levels, product specifications, and customer-specific pricing tiers. Most ERPs can export product data as CSV or XML on a scheduled basis.

The workflow: set up a scheduled export from your ERP that produces a CSV with product data. Import that CSV into your catalog tool. If prices change in the ERP, the next export and import cycle updates the catalog automatically.

Some catalog platforms offer direct ERP integrations. For businesses where catalog freshness is critical, this eliminates the manual export step entirely.

PIM Systems (Akeneo, Salsify, inRiver)

Product Information Management systems are specifically designed to be the central hub for product data. They aggregate information from multiple sources and provide clean, normalized outputs. If your company uses a PIM, it's the ideal source for catalog data because the data is already organized and enriched.

Most PIMs can export product data as CSV, JSON, or through an API. Feed that output to a catalog generation tool, and you get catalogs that reflect the authoritative product information from your PIM.

Custom Databases and Internal Systems

Many businesses have custom-built systems or databases that store product information. These typically can't connect directly to external tools, but they can almost always export data as CSV or JSON.

The bridge: write a simple script or use a tool like Zapier to export your database data into a format that a catalog tool can ingest. This might be a nightly CSV export to a shared folder, or an API call triggered by a button press.

Spreadsheets (Excel, Google Sheets)

For smaller businesses or as an interim solution, spreadsheets are a perfectly valid data source. Maintain your product data in a well-structured spreadsheet, export as CSV, and import into a catalog tool.

The key is maintaining the spreadsheet as a data source rather than as the catalog itself. The spreadsheet holds the truth; the catalog tool renders it.

The Template Layer

Once data flows into the catalog system, templates determine the output. A good template system handles:

• Product layout rules: How many products per page, which fields are displayed, how images are sized and cropped
• Variant presentation: Size/color grids, pricing tier tables, specification sheets
• Conditional logic: Show "Sale" badges for discounted products, display different layouts for products with many variants vs. few
• Brand consistency: Fonts, colors, logos, and spacing are locked in so every generated catalog matches your brand standards
• Page flow: Auto-generated table of contents, category divider pages, cover and back pages

You design the template once. Every subsequent catalog generation uses it automatically. When you want to change the look, update the template and regenerate.

Real-World Example

A wholesale fashion brand we work with has 1,200 products across 4 seasonal collections. Before automation, their catalog process looked like this:

• A designer spent 3 weeks per season building the catalog in InDesign
• Product data was copied from Shopify by hand
• Prices were checked against a separate wholesale price list
• The final catalog was always slightly outdated by the time it was finished
• Mid-season price changes required manual corrections to the PDF

After switching to automated catalog publishing with EasyCatalogs:

• Products import directly from Shopify in one click
• Template handles layouts, variant tables, and pricing automatically
• The full 120-page catalog generates in one session
• When prices change, they sync and regenerate—the updated catalog is ready in minutes
• They now produce separate catalogs for different buyer segments (retailers, designers, international) from the same data

Getting Started

You don't need to rebuild your entire data infrastructure to start automating catalogs. The practical first steps:

1. Identify your data source. Where does your most current, most complete product data live?
2. Test an export. Can you get that data out as a CSV? Does it include product names, descriptions, prices, image URLs, and variant information?
3. Choose a catalog tool that accepts your format. For Shopify merchants, EasyCatalogs connects directly. For others, the CSV import path works with any data source that can produce a spreadsheet export.
4. Start small. Import one product category. Generate a test catalog. Review the output. Refine your data and template. Then scale to your full catalog.

The goal isn't perfection on day one. It's eliminating the manual labor of catalog creation so your team can focus on selling instead of designing.