Amazon Personalize

AI-Powered Recommendation Engine

Amazon Personalize is a fully-managed recommendation engine that delivers hyper-personalized user experiences in real-time at scale. It uses AI to generate recommendations across websites, apps, and marketing channels with ultra-low latency.

Improve user engagement, customer loyalty, and business results.

Versatile Personalization Scenarios

Amazon Personalize supports multiple use cases including hyper-personalizing and ranking streaming recommendations, highlighting trending retail products in real-time, delivering popular and seasonally-relevant travel content across channels, and recommending in-app related items, services, and content.

Tailor recommendations to specific industry and content needs.

Real-Time Adaptive Recommendations

The service delivers intelligent recommendations that dynamically adapt in real-time with precision. It auto-scales to serve requests when traffic exceeds the minimum provisioned TPS and returns to the minimum when traffic reduces.

Maintain performance during traffic spikes while optimizing costs.

Works with Amazon Bedrock

Amazon Personalize can be combined with Amazon Bedrock to improve customer segmentation and generate impactful, user-centric content.

Enhance personalization with generative AI capabilities.

Proven Business Impact

Customers using Amazon Personalize have seen measurable results: Lotte Mart increased new product purchases by 1.7x, Bundesliga increased customer session duration by 17%, and Calm increased daily app use by 3.4%.

Achieve significant improvements in key business metrics.

Pay-As-You-Go with Free Trial

Amazon Personalize pricing is usage-based with no minimum fees or upfront commitments. Costs include data ingestion ($0.05 per GB), training ($0.002 per 1,000 interactions), and inference ($0.15 per 1,000 recommendation requests). A free trial offers up to 20 GB data processing per month, 5 million interactions for training, and 50,000 real-time recommendation requests for the first two months.

Start with a free trial and scale costs with usage.

• Purpose-Built for Real-Time RecommendationsAmazon Personalize is a recommender system that enables you to build personalized experiences. It is designed to help you improve customer engagement and drive business outcomes by delivering relevant product, content, and search recommendations.
• Seamless AWS IntegrationAs an AWS service, Amazon Personalize integrates with the broader AWS ecosystem, including Amazon S3 for data storage, Amazon SageMaker for machine learning workflows, and other AWS analytics and AI services. This allows you to leverage your existing AWS infrastructure and data pipelines.
• Backed by AWS Global InfrastructureAmazon Personalize runs on AWS's comprehensive cloud, which is described as the world's most comprehensive cloud. This provides the scalability, security, and reliability needed for production workloads, supported by AWS's global infrastructure and compliance programs.
• Used Across IndustriesAWS highlights customer success stories across industries, including retail, media, and advertising. Amazon Personalize is positioned to help businesses in these sectors turn data into customer-winning campaigns and improve customer experiences.

• Pricing Not Detailed in Scraped ContentThe scraped pages do not provide specific pricing details for Amazon Personalize. The pricing page URL exists but the content shown is mostly navigation and does not include actual pricing tiers or cost structures. You should visit the official pricing page for accurate, current pricing.
• No Specific Integrations ListedWhile Amazon Personalize is an AWS service, the scraped content does not list specific integrations with other AWS services or third-party tools. Avoid claiming integrations beyond what is explicitly shown in the official documentation.
• No Competitor ComparisonsThe scraped content does not mention any competitors or comparative positioning against other recommendation services. Do not infer competitive advantages or disadvantages without evidence from the website.
• Limited Technical DetailsThe scraped content focuses on general service descriptions and AWS marketing. It does not include technical specifications, algorithm details, or implementation guidance. For technical capabilities, refer to the official Amazon Personalize documentation.

Hyper-personalized streaming recommendations

Deliver hyper-personalized user experiences in real-time at scale with ultra-low latency. Rank streaming recommendations to improve user engagement and customer loyalty, as demonstrated by Bundesliga, which increased customer session duration by 17%.

Real-time trending retail product highlights

Highlight trending retail products in real-time to boost sales. Lotte Mart used Amazon Personalize to increase new product purchases by 1.7x, showcasing the impact of AI-powered personalization on retail outcomes.

Seasonal travel content delivery

Deliver popular and seasonally-relevant travel content across channels. Amazon Personalize dynamically adapts recommendations in real-time with precision, ensuring travelers see the most relevant options for their current context.

In-app related items and content recommendations

Recommend in-app related items, services, and content to keep users engaged. Calm increased daily app use by 3.4% using Amazon Personalize, demonstrating its ability to drive meaningful improvements in user retention and engagement.

Define the exact aI Recommendation Systems tools workflow Amazon Personalize should support.

Compare it with closely related AI tools in the same category before committing.

Set review rules for accuracy, privacy, brand voice, compliance, and final approval.

Connect useful outputs to the wider stack instead of leaving them inside the AI tool.