CatalogPulse for WooCommerce is a WordPress plugin designed to assist store managers in identifying common product data issues within WooCommerce stores. Its primary function is to scan product data and highlight potential problems before they impact customers, helping maintain the overall quality of an online store's catalog.
Key features in version 1.0 include product health scanning, which evaluates the condition of product data and generates a Store Health Score. The plugin categorizes issues by severity and presents them through issue summary cards and a table of the latest issues. Store managers can use client-side search and filtering tools to locate specific issues quickly, and the plugin provides quick navigation links to the relevant product editor screens for further review or correction. For stores with large inventories, batch-based scanning is supported to efficiently process extensive product lists.
CatalogPulse for WooCommerce also maintains a scan history, allowing users to track changes and monitor improvements over time. Reports and issue data can be exported in CSV or JSON formats for further analysis or record-keeping. The plugin does not modify product data automatically; instead, it focuses on issue detection and navigation to affected products.
The plugin is intended for WooCommerce store managers and administrators seeking to proactively manage and improve their product data quality. It is delivered as a WordPress plugin and integrates directly with WooCommerce installations. Installation requires uploading the plugin directory to the appropriate WordPress plugins folder.
CatalogPulse for WooCommerce sits in PulseGate's Business & Operations category. It focuses on detecting and resolving product data issues in WooCommerce stores before they impact customers. It is built as a B2B product for wooCommerce store managers. CatalogPulse for WooCommerce is free to use. It runs on the web.
It is developed by mostafahdd, and it first shipped in 2026. Among its 10 catalogued features are product health scanning, store health score, and issue severity levels.
Summary written by a language model from the project’s public pages.
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