Distribute Product Data to Channels and Systems

Problem

Oftentimes, you need to deliver product data to multiple systems, such as CMS platforms, search engines, and marketplaces. However, without a centralized solution, there are high maintenance costs and inconsistent customer experiences, as well as a number of other common limitations:

• Custom-built applications are expensive to maintain.
• Batch syncs delay updates and create data mismatches.
• Scaling to new channels requires custom development.
• Inconsistent product data across systems leads to customer confusion.

Solution

fabric Product Catalog centralizes product data and makes it accessible wherever it’s needed. With high-performant storefront APIs, flexible export options, and real-time webhooks, you can deliver consistent product information to every channel—from ecommerce sites to third-party marketplaces.

Key capabilities

• Low-latency, high-throughput APIs endpoints for real-time storefront experiences.
• Event-driven architecture notifies external systems of changes to product data.
• Export product data in structured format for downstream systems like CMS or analytics.

Example Scenario

A fashion retailer sells across its website, third-party marketplaces, and retail partners. They previously used a custom Node.js app to sync data nightly, causing 12–24 hour delays and frequent mismatches between systems.

After adopting fabric Product Catalog:

• Real-time APIs serve live product data to all channels.
• Webhooks automatically update search and recommendation engines when product data changes.
• Export APIs populate CMS and promotional content with up-to-date product info.
• Launching in a new region requires only a new export config—no custom code.

This reduces engineering costs, improves product consistency across channels, and speeds up time to market.

Outcome

• Storefront API throughput: Real-time endpoints ensure high performance and availability under load.
• Software cost reduction: Fewer custom integrations to build and maintain.