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. Built to order by ECOSIRE for WooCommerce (build-to-order) — indicative price from $149.00 USD; request a quote for a scoped proposal.
معاينة توضيحيةA 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.
لا إعداد يدوي — تطبيق جاهز يبنيه ويثبّته ويدعمه ECOSIRE.
ابدأ بسعر بناء لمرة واحدة. نحدّد النطاق معك عند الانطلاق.
يقوم ECOSIRE ببنائه وتهيئته وتثبيته على WooCommerce الخاص بك.
تنطلق خلال 2–4 أسابيع تقريبًا، مع فترة دعم بعد الإطلاق.
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.
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.
| المعيار | ECOSIRE | بناء مخصص | منافس | أودو الأصلي |
|---|---|---|---|---|
| Installed and configured for you on your own WordPress server | متضمنة | دعم جزئي | غير متضمنة | |
| AI / machine-learning-driven recommendations from order history | متضمنة | دعم جزئي | دعم جزئي | |
| Frequently-bought-together bundles with single-click add | متضمنة | متضمنة | دعم جزئي | |
| Built-in A/B testing with AOV/CTR reporting | متضمنة | دعم جزئي | دعم جزئي | |
| 20+ placements via WooCommerce hooks, shortcode, and Gutenberg block | متضمنة | دعم جزئي | دعم جزئي | |
| WPML / multisite multi-language support | متضمنة | دعم جزئي | دعم جزئي | |
| HPOS / custom order table compatibility | متضمنة | دعم جزئي | دعم جزئي | |
| No per-impression or subscription SaaS fees (runs on your server) | متضمنة | متضمنة | دعم جزئي | |
| Manual related/upsell/cross-sell product assignment only | غير متضمنة | غير متضمنة | غير متضمنة | |
| Instant self-service download from a marketplace | غير متضمنة | غير متضمنة | متضمنة |
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.
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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.