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Amazon Personalize

180,000 real-time recommendations/month for the first two months

Amazon Personalize

Elevate every customer experience with AI-powered personalization

Get started with Amazon Personalize

Why Amazon Personalize?

Amazon Personalize helps you elevate the customer experience with AI-powered personalization. With the Amazon Personalize recommendation engine, you can deliver hyper-personalized user experiences in real-time at scale to improve user engagement, customer loyalty, and business results.

Benefits of Amazon Personalize

With Amazon Personalize, you can train models that learn from billions of user interactions with millions of items. Amazon Personalize uses state-of-the-art artificial intelligence to help you deliver recommendations with low latency across your website, applications, search engines and marketing channels.

You can set up Amazon Personalize, which manages the infrastructure you need to stand up your own recommendation engine in a few hours. As a fully managed AI-powered recommendation service, Amazon Personalize helps accelerate time-to-value with custom models that are trained on your data, so you can engage users with hyper-personalized experiences.

Amazon Personalize uses sophisticated algorithms that generate recommendations that adapt to how users are engaging with your website or application in real-time. Amazon Personalize adjusts recommendations to accommodate your customers’ changing behavior, unlike solutions that only offer historical, rules-based recommendations.

By integrating Amazon Personalize and Amazon Bedrock into your workflow, you can improve customer segmentation and create variations of content with greater relevance and engagement using generative AI. Combining Amazon Bedrock generative AI foundation models (FMs) with Amazon Personalize enables you to deliver targeted recommendations and sophisticated experiences, which help you to identify market trends, generate brand recommendations, and help your customers find items quicker.

Use cases

Personalize and rank movie, TV, and music recommendations tailored to what customers are most likely to be interested in watching.

Recommend retail items gaining popularity quickly to similar shoppers.

Rank hotel and flight recommendations to highlight popular products, seasonal merchandise, and time-bound promotional offers.

 

Help users discover new products or compare existing items in your application catalog.