A custom-built AI recommendations engine for WooCommerce that drives higher AOV with personalized upsells, cross-sells, and frequently-bought-together bundles across 20+ store placements. Built, installed, and supported by ECOSIRE on your WordPress site. One-time license from $149.00 USD for WooCommerce (build-to-order) — includes 12 months of updates and support.

A custom-built AI recommendations engine for WooCommerce that drives higher AOV with personalized upsells, cross-sells, and frequently-bought-together bundles across 20+ store placements. Built, installed, and supported by ECOSIRE on your WordPress site.
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The AI Product Recommendations Engine for WooCommerce is a build-to-order plugin that ECOSIRE designs, installs, and configures directly on your WordPress site to lift average order value through intelligent, automated product suggestions. This is not an instant marketplace download — after purchase, our team builds the plugin to fit your catalog, theme, and conversion goals, deploys it to your environment, and tunes it with you.
AI-generated upsells and cross-sells trained on your real WooCommerce order history via the REST API and HPOS custom order tables
Frequently-bought-together bundles with single-click add-to-cart for all bundle items
Behavior- and history-based personalization that adapts per visitor session and logged-in customer
Placement control across shop, single product, cart, and checkout via native WooCommerce hooks (woocommerce_after_single_product_summary, woocommerce_cart_collaterals, woocommerce_review_order_before_payment)
20+ supported placements through hooks, a [ecosire_recommendations] shortcode, and a dedicated Gutenberg block
Built-in A/B testing framework that splits traffic between strategies and reports AOV and CTR lift in wp-admin
The engine ingests signals from your WooCommerce REST API and order history — including HPOS (High-Performance Order Storage / custom order tables) where enabled — to learn co-purchase patterns and per-visitor behavior. It then renders AI-generated upsells, cross-sells, and frequently-bought-together bundles through native WordPress hooks such as woocommerce_after_single_product_summary, woocommerce_cart_collaterals, and woocommerce_review_order_before_payment, plus a [ecosire_recommendations] shortcode and a Gutenberg block for free placement.
A wp-admin settings panel gives you full placement control across shop, product, cart, and checkout pages, with rules per category, tag, or product. A built-in A/B testing framework splits traffic between recommendation strategies and reports lift on AOV and click-through. Model retraining runs on a scheduled WP-Cron job (or a real system cron for reliability), so suggestions stay fresh as your catalog and sales evolve.
It is WPML- and multisite-aware for multi-language stores, respects product visibility and stock status, and degrades gracefully when the AI service is unavailable by falling back to deterministic co-purchase rules. Everything is delivered as clean, documented code on your server — no external lock-in, no per-impression fees.
Runs an established WooCommerce store and wants to raise average order value without manually curating related products for thousands of SKUs. Values automation that learns from real purchase data and a done-for-you setup rather than wrestling with another plugin.
Owns revenue and conversion targets and needs measurable lift. Cares about the built-in A/B testing, AOV/CTR reporting, and the ability to control exactly which placements show recommendations on product, cart, and checkout pages.
Manages the WordPress stack and wants clean, hook-based code that respects WooCommerce standards, HPOS, WPML, and multisite — installed on their own server with no external per-impression billing or vendor lock-in.
Compre la licencia en ecosire.com y descargue el módulo ZIP AI Product Recommendations Engine for WooCommerce desde el panel de su cuenta.
Extraiga el ZIP en su carpeta de complementos personalizados de Odoo en el servidor (o cárguelo a través de Aplicaciones > Instalar desde archivo en Odoo.sh/runbot).
Active el modo de desarrollador, abra Aplicaciones, haga clic en Actualizar lista de aplicaciones, busque AI Product Recommendations Engine for WooCommerce y presione Instalar.
Abra el nuevo menú, pegue su clave de licencia de ECOSIRE, conecte cualquier credencial externa (Shopify, Amazon, Stripe, etc.) y guarde.
Ejecute la prueba de conexión integrada, sincronice sus primeros 10 registros y programe el cron recurrente. Póngase en contacto con el soporte si algo falla.
| Criterio | ECOSIRE | Construcción personalizada | Competidor | Odoo Nativo |
|---|---|---|---|---|
| Installed and configured for you on your own WordPress server | ||||
| AI / machine-learning-driven recommendations from order history | ||||
| Frequently-bought-together bundles with single-click add | ||||
| Built-in A/B testing with AOV/CTR reporting | ||||
| 20+ placements via WooCommerce hooks, shortcode, and Gutenberg block | ||||
| WPML / multisite multi-language support | ||||
| HPOS / custom order table compatibility | ||||
| No per-impression or subscription SaaS fees (runs on your server) | ||||
| Manual related/upsell/cross-sell product assignment only | ||||
| Instant self-service download from a marketplace |
No. This is a build-to-order plugin. After you purchase, ECOSIRE builds the engine to fit your catalog, theme, and goals, then installs and configures it directly on your WordPress site. There is no marketplace download link — you receive a working, installed plugin on your own server.
Typical delivery is 2 to 3 weeks from when we receive WordPress/WooCommerce admin access and your requirements. Simpler catalogs are faster; large stores with custom themes, WPML, or multisite may need additional tuning time. We confirm a firm timeline during onboarding before any work begins.
Every build includes a post-launch support window for bug fixes and configuration help. Because the plugin lives on your server, we also test it against new WooCommerce and WordPress releases on request. Extended maintenance — covering compatibility updates, model retuning, and new placements — is available as an optional ongoing plan.
Yes. The engine reads order data through the WooCommerce REST API and supports HPOS (High-Performance Order Storage / custom order tables). It is WPML-aware for multi-language stores and can be deployed across a multisite network, with recommendations scoped per site.
The plugin runs on your WordPress server. Model training uses your own order history. Depending on the strategy you choose, lightweight inference may call an external AI API, or you can run a fully self-contained co-purchase model with no external calls. We configure the approach with you and the engine falls back to deterministic rules if any AI service is unavailable.
A custom-built AI recommendations engine for WooCommerce that drives higher AOV with personalized upsells, cross-sells, and frequently-bought-together bundles across 20+ store placements. Built, installed, and supported by ECOSIRE on your WordPress site.