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AI Product Recommendations for WooCommerce – Upsell & Cross-Sell

开发者 devhasib
更新时间 2026年8月21日 17:29
PHP版本: 8.1 及以上
WordPress版本: 7.1
版权: GPL-2.0-or-later
版权网址: 版权信息

标签

upsell cross-sell product recommendations frequently bought together woocommerce recommendations

下载

1.0.1 1.0.2 1.0.3 1.0.0

详情介绍:

安装:

  1. Upload the plugin folder to /wp-content/plugins/storzen-ai-recommends, or install directly from the WordPress plugin screen.
  2. Activate the plugin through Plugins → Installed Plugins.
  3. Ensure WooCommerce is installed and activated.
  4. Navigate to Storzen Reco in your WordPress admin sidebar to configure modules and settings.
  5. For best results on existing stores: click "Rebuild co-purchase matrix" after activation to index your full order history immediately.

屏幕截图:

  • Frontend product page showing the AI-powered Frequently Bought Together bundle widget with social proof badges (sales velocity, verified purchases, low stock urgency) and AI Recommended related products grid below.
  • Admin settings panel for the Pro Back in Stock Alert module — configure email subscription form, GDPR opt-in label, email subject, upsell popup trigger settings, and live front-end preview alongside the current subscriber list.

升级注意事项:

1.0.2 Adds On-Sale Products, Top Rated, and Category Recommendations modules. No database changes. Safe to update — new modules are enabled by default and configurable from Settings. 1.0.1 Adds Trending Products, Bestsellers, New Arrivals, and Checkout Recommendations modules. No database changes. Safe to update — activate and configure the new modules from Settings. 1.0.0 Initial release of AI Product Recommendations for WooCommerce. Install and run the co-purchase matrix rebuild for best results on existing stores.

常见问题:

Does this plugin require an API key or external service?

No. AI Product Recommendations for WooCommerce works entirely within your WordPress installation using your own WooCommerce order data. No external API, no cloud service, no subscription, and no account required — ever.

How accurate are the AI recommendations?

Accuracy improves directly with order volume. On stores with hundreds of orders, the co-purchase matrix produces highly relevant recommendations. On brand-new stores, the built-in taxonomy fallback uses category and tag overlap to generate useful suggestions from day one. The default hybrid mode blends both signals for the best output at every stage of store growth.

Does it work with variable products?

Yes. The recommendation engine works with all WooCommerce product types — simple, variable, grouped, and external. Variable products in recommendation widgets link to the product page so customers can choose their variation. The low stock urgency badge checks all available variations and shows the lowest remaining stock count.

How does the recently viewed feature stay GDPR compliant?

Recently viewed products are stored exclusively in the browser's sessionStorage — a temporary, client-side mechanism that is never transmitted to the server and is automatically cleared when the browser tab closes. No personal data is written to the database. No cookies are used.

Will it slow down my store?

No. Recommendation scores are cached as WordPress transients with a 1-hour TTL — the AI scoring query runs at most once per hour per product, not on every page load. Social proof sales velocity data is cached for 6 hours. Frontend assets (CSS/JS) are loaded only on pages where recommendation widgets are active. The recently viewed feature triggers zero server-side queries.

Does it conflict with my theme or other plugins?

AI Product Recommendations for WooCommerce uses only standard WooCommerce hooks and filters. Related products are replaced via the official woocommerce_related_products filter — no template files are modified. This makes it fully compatible with any properly built WooCommerce theme.

How do I place recommendations on a custom page?

Use the native Gutenberg block or Elementor widget to drop recommendations anywhere without writing code. For recently viewed products specifically, use the [sprwoo_recently_viewed] shortcode.

Can I customize the look of the recommendation widgets?

Yes. All widget elements use prefixed .sprwoo- CSS class names to avoid conflicts. Override any style via your theme's style.css or a custom CSS plugin by targeting the .sprwoo- namespace.

What database tables does the plugin create?

Two custom tables are created on activation:

  • {prefix}sprwoo_copurchase — stores the co-purchase frequency matrix
  • {prefix}sprwoo_analytics — stores impression, click, and add-to-cart events Both tables are fully removed on plugin deletion. The analytics table auto-purges rows older than your configured data retention window.

What happens to my data if I uninstall the plugin?

When you delete the plugin from the WordPress admin, the uninstall routine automatically drops both custom database tables, deletes all plugin options, and clears all transient cache entries. No manual database cleanup is required.

How does the social proof badge threshold work?

Each badge type has a configurable minimum threshold in the admin settings. For example, if the sales velocity threshold is set to 5, the "sold this month" badge only appears on products with at least 5 sales. This prevents new or low-volume products from showing misleading social proof.

How does the low stock badge decide what to show?

The badge appears when WooCommerce stock management is enabled for a product and the remaining stock is at or below your configured threshold (default: 5). For variable products, it checks all available variations and displays the lowest stock count. Products without stock management enabled are never shown a low stock badge.

更新日志:

1.0.3 1.0.2 1.0.1 1.0.0