Managing Product Data for Large Catalogs (500+ SKUs) – Looking for Your Insights

Shopify Discussion
,
1

Hi everyone,

I’m curious to find out how you manage your product data at scale, particularly for stores with 500+ SKUs.

I’d love to hear from anyone who works with large catalogs:

  • How do you currently handle adding and updating products?

  • What’s your approach to categorizing products and managing tags or collections?

  • How do you manage metafields or custom attributes — manually, with apps, or something else? Is Shopify’s AI sufficient to you?

  • What’s the most time-consuming or frustrating part of your current workflow?

  • What happens when things go wrong — like miscategorized items or missing data?

If you’ve faced (and maybe solved) some of these challenges, I’d be very grateful to hear about your process. Your input would be incredibly helpful!

Thanks so much in advance!

2

Hi there,

here’s how I typically approach it:

1. Adding & Updating Products

For large catalogs, I rarely rely on manual entry. Instead:

  • Bulk CSV imports (Shopify’s native import or Matrixify app) are the starting point.

  • For recurring updates (e.g., stock, prices, descriptions), I prefer automated syncs via APIs or custom apps that pull from ERPs or inventory management systems.

2. Categorization, Tags & Collections- I use automated smart collections as much as possible, leveraging consistent tagging rules.

  • For more complex categorization (e.g., multi-level taxonomies), I often implement a custom metafield structure and a collection manager app or build a simple admin UI.

  • I maintain a taxonomy/tag mapping document to ensure consistency, especially when the catalog is managed by multiple people.

3. Metafields & Custom Attributes- These are crucial for filtering, PDP enhancements, and SEO. I manage them using:

  • Shopify’s bulk editor for smaller batches.

  • Metafields Guru or Matrixify for larger sets.

  • In some projects, I’ve built custom scripts to bulk update metafields via the Shopify API.

  • Shopify’s AI tools are helpful for generating descriptions, but not yet reliable for structuring data or tagging — especially with nuanced product lines.

4. Most Time-Consuming Tasks- Ensuring consistency across attributes like size, color, fit, and features.

  • Manually fixing vendor-supplied data that comes in messy formats.

  • Managing variants vs. standalone products, especially for fashion or electronics where options are rich.

5. When Things Go Wrong- I always maintain a “data audit” sheet to log inconsistencies, especially when bulk uploads go awry.

  • Implementing a QA checklist post-import helps catch miscategorized or missing items before going live.

  • I also recommend versioning product data using backup exports, so rollbacks are possible.

If you’re managing a large catalog and looking to streamline your operations or build a scalable data structure, I’d be happy to offer more tailored suggestions based on your specific store setup.

2 Likes
3

  • How do you currently handle adding and updating products?
    Manually and it’s time consuming, file naming and image optimizing and alt text naming, they all take time.

  • What’s your approach to categorizing products and managing tags or collections?
    Main category > sub category (collection) > products

  • How do you manage metafields or custom attributes — manually, with apps, or something else? Is Shopify’s AI sufficient to you?
    Manually, it’s not alot of work. shopify AI is ok but should be much better.

  • What’s the most time-consuming or frustrating part of your current workflow?
    image file names and alt text naming

  • What happens when things go wrong — like miscategorized items or missing data?
    Haven’t came across such things yet

1 Like