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Storzen AI Recommendations for WooCommerce

Name: Storzen AI Recommendations for WooCommerce
Author: WebTend

AI-powered WooCommerce product recommendations — frequently bought together, cart cross-sells, related products AI, and post-purchase upsells.

Storzen AI Recommendations for WooCommerce ranks #67,819 among WordPress.org plugins with 0+ active installations, is #10,062 of 12,463 in the E-commerce category, and was last updated Sep 6, 2026. Data from WordPress.org, refreshed twice daily — see methodology.

Compatible with WP 7.1.1

v1.0.4 Current Version v1.0.4

Updated 2 weeks ago Last Update on 06 Sep, 2026

Refreshed 12 hours ago Last Refreshed on

#10,062 of 12,463 in E-commerce Actively maintained

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Rank

#67,819

-9728 this week

Active Installs

-100%

KW Avg Position

— No change

Downloads

390

+3 today

Support Resolved

— No change

Rating

Review 0 out of 5

0 (0 reviews)

Next Milestone 10

Total Progress 0%

0+ 10+

36,152

Ranks to Climb

Growth Needed

8,000,000

Active Installs

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Rank Changes

Current #67,819

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Active Installs Growth

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Active Installs 0,000,000+

Growth +0.0%

Peak 0,000,000

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Plugin Details

Version: 1.0.4
Last Updated: Sep 06, 2026
Requires WP: 6.6+
Tested Up To: 7.1.1
PHP Version: 8.1 or higher
Author: WebTend

Support & Rating

Rating: ☆ ☆ ☆ ☆ ☆ 0
Reviews: 0
Support Threads: 0
Resolved: 0%

Keywords

cross-sell personalization recommendations upsell woocommerce

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Frequently Asked Questions

Common questions about Storzen AI Recommendations for WooCommerce

No. Storzen AI Recommends 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.

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.

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.

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.

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.

Storzen AI Recommends 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.

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.

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.

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.

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.