IKEA Retail (Ingka Group) increases Global Average Order Value for eCommerce by 2% with Recommendations AI. Learn more.

Recommendations AI

Deliver highly personalized product recommendations at scale.

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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. 

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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.

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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 360Tag Manager, Merchant Center, Cloud Storage, BigQuery.

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State-of-the-art AI

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.

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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 logo

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 logo

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 logo

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.

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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.

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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

With Recommendations AI you can deliver high-performing recommendations to any customer touchpoint including your website, mobile experience, email, contact center, and more. Seamlessly deliver curated recommendations with low latency to customers anywhere in the world. 

Watch how Recommendations AI works

Screen with several garments depicted, Apparel in upper left corner

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.

Four boxes: 1st reads +90% click-through rate driven by recommendations; 2nd reads +40% conversions driven by recommendations; 3rd +50% revenue driven by reocmmendations; +5% total revenue per visit

How it works

1st step is ‘Ingest your data’ containing two boxes as product catalog data and customer data; arrows from them merging into a box with the text ‘Multiple ways to integrate your data’; arrow from it goes into 2nd step ‘Customise your recommendations’ having Recommendations AI’ box with 3 sections - select your recommendation type, select your objective, set business rules; arrow from it goes via prediction API box to 3rd step ‘Deliver recommendations anywhere in the customer journey’ into box with text having Show recommendations at customer touchpoints.
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"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


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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.

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