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- Description
- Reviews
- FAQ
- Customers ()
- Specifications
- Cloud Hosting
- Changelog
Magento 2 Product Recommendations Extension uses Artificial intelligence. Thus it offers personalized product suggestions. It applies embedding techniques to recognize and provide AI based Product Recommendations.
AI Product Recommendation extension suggests relevant product recommendations for Magento 2. The AI powered product suggestions are shown alongside the products that users view in the store.
These AI based personalized product recommendations allows the store admin for Magento 2 Ecommerce Personalization. Also, Magento 2 AI Image Search extension, helps to search products via AI image recognition technology.
Highlighted Features of Magento 2 Product Recommendations Extension
AI-Powered Suggestions
Uses AI to analyze and recommend products.
Embedding Technique
Identifies and recommends products using the embedding technique.
Suggestion Flexibility
Complete control over product suggestion count and accuracy.
User Accessibility
Both guest and registered users can view the suggested products.
Why do we need an AI-based Magento 2 Product Recommendations Extension?
Magento 2 AI Product Recommendation extension offers customers relevant product suggestions. Adobe Commerce product recommendations engine uses advanced AI to evaluate and highlight products as users browse.
Optimizes the customer experience with Magento 2 Personalized AI-powered recommendations. Adobe Commerce AI Product Recommendation module changes the way product suggestions are shown to users.
Magento 2 Personalized Product Recommendations using AI delivers tailored product suggestions in real-time. The embedding approach in AI gives precise e-commerce product recommendations.
The product page shows accurate suggestions using the Adobe Commerce product recommendations. The store owner can choose how many recommended products to show and adjust the accuracy of the suggestions.
Also, Magento 2 AI OCR extension, extracts text from PDFs to create orders not available in the store.
Magento 2 Product Recommendations Configuration
After installing the Magento 2 Product Recommendations module, the admin needs to configure the AI recommendation engine, embedding models, and vector database settings.
- Select the preferred vector database from the available options.
- Enter the OpenSearch Index Prefix to create and organize the vector indices.
- Fill in the API Key.
- Change the value of the products to regulate the quantity of AI-recommended items.
- Enter distance value to control suggestion accuracy.
AI Product Recommendation View
On the product page, there's a section called AI Recommended where you can find products that AI thinks you might like.
- AI Product Recommendation sets which products are suggested on the product page.
- The number of products shown are detesetting chosen by the admin.
- For precise product recommendations, set the distance value to 1.
Benefits of AI Product Recommendation
Boosts how customers shop by giving them customized suggestions for products.
- Makes it easier for users to discover products that fit their tastes.
- Enhances conversion rates with relevant recommendations.
- Explore products by delivering quick and live suggestions.
- Using Magento product recommendations increases customer engagement by making it easier for them to choose products.
Support
For any query or issue please create a support ticket here at Help Desk. You may also check our quality Magento 2 Extensions.
Specifications
Product Version5.0.1
Released1 year ago
CategoryMagento 2, Magento 2 AI extensions,
Last UpdatedJuly 3, 2026 (1 month ago)
License Single application
Supported VersionsMagento 2.0.x 2.1.x 2.2.x 2.3.x 2.4.x
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Frequently Asked Questions
How does the AI Product Recommendation module work for users?
The module suggests products to users on the product page.
Which AI algorithm is used for product suggestion in the extension?
The extension uses the embedding algorithm to match products for suggestions.
What type of products can this module recommend?
This module works with all default Magento product types.
Can the admin specify the number of products recommended on the front end?
Yes, the admin can set the number of product suggestions to display on the front end.
Do users receive accurate product suggestions?
Yes, users get accurate product suggestions based on the AI settings.
Specification
Detailed technical features and requirements to help you understand the module’s capabilities and ensure smooth integration with your system.
Cloud Hosting
Detailed technical features and requirements to help you understand the module’s capabilities and ensure smooth integration with your system.
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Default Configuration Details of Server
1 GB
RAM 1 Core
Processor 30 GB
Hard Disk
RAM 1 Core
Processor 30 GB
Hard Disk
1 GB RAM & 1 Core Processor
Database
Database
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* Server Configuration may vary as per application requirements.
Change Logs
- + Features
- - Bugs
Version 5.0.1
- + Compatible with Magento 2.4.9 and PHP 8.5.
Version 5.0.0
- + Compatible with Magento 2.4.8^, PHP 8.4 and ChromaDB API V2 version.
- + Added functionality to create specific embeddings of specific product from specific store.
- + Added functionality to create and store recommendation store wise.
- + Added trending, review, category, User, visual, text similarity, and recently viewed recommendations.
- + Admin can create and set the recommendations on multiple pages (Home, Category, Product Detail, Cart, Order Confirmation).
- + Added recommendation enable and disable functionality.
- + Added functionality to show recommendation between selected time period only.
- + Added functionality to show recommended products based on the applied filters.
- + Added option for OpenAI, Gemini, Openrouter, Mistral and Voyage LLM providers.
- + Added option for Elasticsearch or OpenSearch for vector storage (option will show based on Magento catalog search engine).
- + Added Configuration for generate text embedding using ONNX model.
Version 4.0.1
- + Compatible with Adobe Commerce 2.4.9 and PHP 8.5.
- + Compatible with Magento 2.4.8^, PHP 8.4 and ChromaDB API V2 version.
- + Added functionality to create specific embeddings of specific product from specific store.
- + Added functionality to create and store recommendation store wise.
- + Added Support for Multi Store.
- + Added trending, review, category, User, visual, text similarity, and recently viewed recommendations.
- + Admin can create and set the recommendations on multiple pages (Home, Category, Product Detail, Cart, Order Confirmation).
- + Added recommendation enable and disable functionality.
- + Added functionality to show recommendation between selected time period only.
- + Added functionality to show recommended products based on the applied filters.
- + Added option for OpenAI, Gemini, Openrouter, Mistral and Voyage LLM providers.
- + Added option for Elasticsearch or OpenSearch for vector storage (option will show based on Magento catalog search engine).
- + Added Configuration for generate text embedding using ONNX model.
Version 4.0.0
- + Compatible with Magento 2.4.x
- + Implemented a feature that uses AI to recommend similar products to users on product pages.
