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Amazon PersonalizeAmazon Web Services (AWS)

Build real-time recommendations into your applications

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Vendor

Amazon Web Services (AWS)

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Elevate every customer experience with AI-powered personalization

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

Deploy hyper-personalized user recommendations across websites, apps, and marketing channels at scale with ultra-low latency

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.

Set up and start using a fully-managed recommendation engine in hours instead of days

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.

Deliver intelligent recommendations that dynamically adapt in real-time with precision

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.

Improve customer segmentation and generate impactful, user-centric content with Amazon Personalize and Amazon Bedrock

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.

How it works

Get started with Amazon Personalize and generative AI You can now use Amazon Personalize and generative AI powered capabilities to quickly create hyper-personalization experiences for your users.

Use cases

Hyper-personalize and rank streaming recommendations

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

Highlight trending retail products in real-time

Recommend retail items gaining popularity quickly to similar shoppers.

Deliver popular and seasonally-relevant travel content across channels

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

Recommend in-app related items, services, and content

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