Audience
Solution for companies wanting to create real-time personalized user experiences faster at scale
About Amazon Personalize
Amazon Personalize enables developers to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations – no ML expertise required. Amazon Personalize makes it easy for developers to build applications capable of delivering a wide array of personalization experiences, including specific product recommendations, personalized product re-ranking, and customized direct marketing. Amazon Personalize is a fully managed machine learning service that goes beyond rigid static rule based recommendation systems and trains, tunes, and deploys custom ML models to deliver highly customized recommendations to customers across industries such as retail and media and entertainment. Amazon Personalize provisions the necessary infrastructure and manages the entire ML pipeline, including processing the data, identifying features, using the best algorithms, and training, optimizing, and hosting the models.
Other Popular Alternatives & Related Software
BytePlus Recommend
Product recommendations tailored to your customers' preferences in a fully-managed service. BytePlus Recommend draws from our expertise in machine learning to offer dynamic and targeted recommendations. Our industry-leading team has a track record of delivering recommendations for some of the world’s most popular platforms. You can learn from the data of your users to engage them better, and provide personalized suggestions based on granular customer behavior. BytePlus Recommend is easy to use — leveraging your existing infrastructure as well as automating the machine learning workflow. BytePlus Recommend leverages our research in machine learning to deliver personalized recommendations tailored to your audience’s preferences. Our experienced and talented algorithm team provides customized strategies that adapt to evolving business needs and goals. Our pricing is based on results from A/B testing. Optimization goals are determined based on business demands.
Learn more
Beveel
Beveel, which means “recommend” in Afrikaans, is a customer personalization engine that provides recommendations you can use in websites, emails, and social channels. Beveel is a context aware, Machine Learning and Artificial Intelligence based personalization engine for commerce. Beveel personalizes your customers commerce experience and delivers the most relevant and personalized experience possible. While driving your average order value (AOV), increasing sales by 30% in comparison to competitor products. Our visual recommendation engine uses deep learning techniques and Convolutional Neural Network (CNN) to recommend products relevant visually similar products to your customers. Beveel’s tuning service allows merchandisers to indicate their preference of showcasing products which are optimized for Revenue/Margin, Engagement, Conversion. Our purchase intent engine (PIE) matches your customer’s presence behaviours on the site and personalizes the experience in real-time.
Learn more
Amazon Elastic Container Service (Amazon ECS)
Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.
Learn more
Constructor.io
Deploy product discovery that automatically learns customer intent. Optimize results across the board with machine learning. Personalize search, autosuggest, browse, recommendation results for every user. Computational approaches that infer intent from
a user’s search query. Continuously updated search result rankings through automated learning from behavioral data. Integrated, data-driven effort to deliver unique results for each person and query. Advanced tools to supplement automated results with merchant expertise. Deploy product discovery that automatically learns customer intent. Optimize results across the board with machine learning. Personalize search, autosuggest, browse, recommendation results for every user. As users type in their query, natural language processing deciphers intent and presents conversion-worthy results. Constructor Search collects and learns from behavioral data.
Learn more
Integrations
Company Information
Amazon
Founded: 1994
United States
aws.amazon.com/personalize/
Videos and Screen Captures
Other Useful Business Software
One platform for global hiring and contractor management.
TFY unifies applicant tracking, team onboarding, compliance, contractor payments, and billing automation in a single, powerful platform, eliminating the need for multiple disconnected tools.
Product Details
Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online
