by WebTend
0 (0 reviews)
Storzen AI Recommends for WooCommerce
AI-powered WooCommerce product recommendations — frequently bought together, cart cross-sells, related products AI, and post-purchase upsells.
Compatible with WP 7.0.1
v1.0.0
Current Version v1.0.0
Updated 1 day ago
Last Update on 16 Jul, 2026
Refreshed 11 hours ago
Last Refreshed on
Rank
#53,580
—
No change
Active Installs
0+
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No change
KW Avg Position
56
—
No change
Downloads
0
+16 today
Support Resolved
0%
—
No change
Rating
0%
Review 0 out of 5
0
(0 reviews)
Next Milestone 10
0+
10+
24,602
Ranks to Climb
-
Growth Needed
8,000,000
Active Installs
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Rank Changes
Current
#53,580
Change
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Overall
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5
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4
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3
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1
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Tracked Keywords
Showing 1 of 1| Keyword | Position | Change | Type | Updated |
|---|---|---|---|---|
| frequently bought together | 56 | — | Tag | 1 day ago |
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- Version
- 1.0.0
- Last Updated
- Jul 16, 2026
- Requires WP
- 6.6+
- Tested Up To
- 7.0.1
- PHP Version
- 8.1 or higher
- Author
- WebTend
Support & Rating
- Rating
- ☆ ☆ ☆ ☆ ☆ 0
- Reviews
- 0
- Support Threads
- 0
- Resolved
- 0%
Keywords
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Frequently Asked Questions
Common questions about Storzen AI Recommends 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.