​
Problem

Manually managing product collections for site navigation, seasonal campaigns, and sales efforts is time-consuming and error-prone. You may often rely on spreadsheets and manual tagging, which disconnects collections from real-time product updates and slows down execution.

Common challenges include:

  • Manually applying merchandising rules for each campaign.
  • Pulling product data from multiple, inconsistent sources.
  • Repeating work for every seasonal update.
  • Increased risk of outdated or miscategorized listings.

​
Solution

With fabric Product Catalog, you can create automated, rule-based collections. These collections dynamically update based on product data, reducing the need for manual changes and ensuring accurate, timely merchandising across storefronts.

​
Key capabilities

  • Build collections with rule-based logic using attributes like category, brand, availability, or season.
  • Collections refresh automatically as product data changes.
  • Use flexible targeting to fine-tune inclusion criteria.
  • Export collections to CMS, search engines, and other platforms.

​
Example Scenario

A lifestyle retailer frequently runs seasonal campaigns such as “Spring Refresh” and “Back to School.” Previously, merchandisers pulled SKUs from ERP into spreadsheets, manually tagged them, and relied on developers to upload and configure listings in the CMS—a process that was slow and error-prone.

With fabric:

  • Merchandisers create a dynamic “Spring Refresh” collection using the rules season = spring and availability = true. As new products are added or inventory updates roll in, the collection stays current automatically.
  • For site navigation, they create collections like “Dining Room Essentials” by filtering products with room = dining or use_case = outdoor.

These collections are synced to the CMS and used for banners, homepage curation, and navigation menus without requiring custom code or manual updates.

​
Outcome

  • Faster time-to-launch: Rule-based logic eliminates repetitive setup work.
  • Improved product discovery: Targeted, dynamic groupings improve visibility.
  • Higher conversion: Relevant collections lead to more shopper engagement.