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Google Product Recommendations

This is an Integration with a Third Party Service. Other charges and fees may be required to use this extension on your Store
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Overview

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Compatibility: Adobe Commerce 2.4.x (PHP 7.3+, 8.0+)

It is more important than ever to deliver personalised experiences to your customers as they browse your storefront because many feel frustrated when content is not tailored to them. Recommendations AI is part of Vertex AI Search for retail and is a powerful marketing tool you can use to increase conversions, revenue, and engagement.

Recommendations AI draws on Google's experience and expertise in machine learning to deliver personalised recommendations that suit each customer’s tastes and preferences across all your touchpoints. 

Features

  • Fully managed service - no need to preprocess data, train or hypertune machine learning models, load balance or manually provision your infrastructure to handle unpredictable traffic spikes. Google will do it all for you automatically.
  • Get your project started quickly - integrate data, manage models, serve recommendations, monitor performance, all from an intuitive graphical user interface. Quickly connect data with your existing tools like Google Analytics 360, Tag Manager, Merchant Center, Cloud Storage, BigQuery.
  • State-of-the-art AI - take advantage of Google's expertise in recommendations, powered by state-of-the-art machine learning models. Google can correct for bias and seasonality and excel in scenarios with long-tail products and cold-start users and items, setting it apart from other AI vendors.
  • Maximise value of your data - put all your data to work producing great predictions by incorporating unstructured metadata like product name, description, category, images, product longevity, and more.
  • Deliver at any touchpoint - offer first-time users and loyal customers alike high-quality recommendations via web, mobile, email, and more, anywhere in their journey from homepage to shopping cart to order confirmation and beyond.
  • Choose your strategy - customise recommendations to deliver your desired outcome: engagement, revenue, or conversions. Apply business rules to fine-tune what customers see, diversify product displays, and filter by product availability, custom tags, etc.
  • Automatic global scale - with one click, you can seamlessly deliver curated recommendations with low latency to customers anywhere in the world. It supports international product catalogs and multiple geographies.
  • Your data, your models - your data and models are yours and yours alone. They’ll never be used for any other Google product nor shown to any other Google customer. You’re never locked in, and can delete your data and models anytime.
  • Supports GDPR compliance - Recommendations AI supports compliance with General Data Protection Regulation (GDPR). Compliance with GDPR is a top priority for Google Cloud and our customers.

Security

  • The extension uses a user id to query a recommendations model. A user id is not considered personally identifiable information and, therefore, operates within the bounds of GDPR
  • This extension does not fall within the scope of PCI as no payment card data is be captured, stored or transmitted

Technical Specifications

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Seller profile

Cris Pini

Seller contact

E-mail

Integrator

Google Recommendations AI

Current Version

1.1.2

Adobe Commerce platform compatibility

Magento Open Source: 2.4 (current)

Type

Stable Build

Updated

08 April, 2024

Categories

Extensions, Marketing, CRM, Marketing Automation

Documentation

User Guides

License Type

GNU General Public License 3.0 (GPL-3.0)

Policy

Privacy Policy

Quality Report

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Installation & Varnish Tests

Passed

Coding Standard

Passed

Plagiarism Check

Passed

Malware Check

Passed

Marketing Review

Passed

Manual Testing

Passed

All tests were conducted on the latest versions of Adobe Commerce that existed for the compatible release lines at the moment of the extension submission. Latest versions of all other software were used, as applicable.

Release Notes

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1.1.2:

  • Compatible with Magento Open Source : 2.4
  • Stability: Stable Build
  • Description:

    It is now assumed that user events will be using the GA clientID to map to the visitorId and will be using the Magento customerIncrementId as the userInfo.userId.

    These fields are now being used as user identifiers in the predict query.

    If users are using alternative identifiers when capturing user events then these will need to change to reflect those values.

1.0.0:

  • Compatible with Magento Open Source : 2.4
  • Stability: Stable Build
  • Description:

    This extension allows for the easy integration and injection of product recommendations surfaced by Google's Recommendation AI service. There is a ready made example for use on the product detail page but for other placements you'll need to decide what placement models you're going to create and where you want to display them . The initial part of the work will require setting up a GCP account and enabling the Google Retail API. Once that is complete Recommendations AI needs to ingest your product catalogue and connect to Google Analytics (you need to be capturing Enhanced Ecommerce metrics with GA as well). After a few days of data ingestion there should be enough to start model training.

Support

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The best place to start if you need help with a specific extension is to contact the developer. All Adobe Commerce developers have both a contact email and a support email listed.

Contact Vendor

Q & A

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Reviews

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