Deliver highly personalized product recommendations at scale.
View documentation for this product.
Give customers more of what they love
Earn your customers’ trust and loyalty by proving how well you understand them. Google has spent years delivering recommended content across flagship properties such as Google Ads, Google Search, and YouTube.
Recommendations AI draws on that experience and expertise in machine learning to deliver personalized recommendations that suit each customer’s tastes and preferences across all your touchpoints.
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. We 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.
Take advantage of Google's expertise in recommendations, powered by state-of-the-art machine learning models. They can correct for bias and seasonality and excel in scenarios with long-tail products and cold-start users and items.
Maximize 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
Customize 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. Learn more.
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. See terms and the GDPR Resource Center for more information.
Deliver high-performing recommendations across channels
Dramatic improvements to meaningful metrics
Recommendations AI uses Google’s latest machine learning architectures, which dynamically adapt to real-time customer behavior and changes in variables like assortment, pricing, and special offers. Early results from retailers around the world have shown dramatic improvements on previous recommendation systems, with some achieving up to the following results.
How it works
"Recommendations AI was easy to integrate with our existing recommendations framework, and enabled us to deliver next-gen recommendations without a ton of work. We are steadily investing in data science and it is very helpful for us to be able to integrate and test different algorithms. Recommendations AI performs really well on our product detail pages and increased conversions and revenue significantly."
Oliver Herren, CIO, Galaxus
Integrate Recommendations AI into your systems with our trusted partners.
Overview videoVideo to provide you an overview of the Google Cloud Discovery solutions and how they can help you drive your ecommerce business forward.
ImplementationFollow this step-by-step guidance to set up your product discovery solution.
Data ingestionBlog to guide you on how to go about data ingestion for your Discovery AI solution.
Pricing for Recommendations AI is based on operations such as training and tuning (per node per hour) and requesting predictions (per 1000 predictions). Prediction cost is tiered by number of monthly prediction requests.
You can try Recommendations AI with a $600 free credit. This free credit is typically sufficient to train a model and test its performance in production through a two-week A/B test.
Take the next step
Start building on Google Cloud with $300 in free credits and 20+ always free products.
Take the next step
Start your next project, explore interactive tutorials, and manage your account.