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.
Integrations
Company Information
Amazon
Founded: 1994
United States
aws.amazon.com/personalize/
Videos and Screen Captures
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.
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Avatria Convert
Unlike other conversion optimization software, Convert doesn’t require an extensive development project just to get started. With the amount of data you have, analysis isn’t easy. Fortunately, our machine learning technology puts state-of-the-art results just a click away. The last thing you need is another tool to manage. Convert connects to your site to deliver regular updates, assuring that optimization is the new norm. Seamless integration at the click of a button ensures your data stays synchronized with Avatria Convert. Convert's model looks at over 80 metrics, conducting complex calculations to predict which products will drive the most customer purchases. Once integrated, Avatria Convert will account for changes in your customers' behavior and automatically re-prioritize your products accordingly. The last thing you need is another tool to manage. Convert connects to your site to deliver regular updates, assuring that optimization is the new norm.
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Lucidworks Fusion
Fusion transforms your siloed data into personalized insights unique to each user. Lucidworks Fusion lets customers easily deploy AI-powered data discovery and search applications in a modern, containerized, cloud-native architecture. Data scientists interact with those applications by leveraging existing machine learning models and workflows. Or they can quickly create and deploy new models using popular tools like Python ML, TensorFlow, scikit-learn, and spaCy. Reduce the effort and risk of managing deployments of Fusion in the cloud. Lucidworks has modernized Fusion with a cloud-native microservices architecture orchestrated by Kubernetes. Fusion allows customers to dynamically manage application resources as utilization ebbs and flows, reduce the effort of deploying and upgrading Fusion, and avoid unscheduled downtime and performance degradation. Fusion includes native support for Python machine learning models. Plug your custom ML models into Fusion.
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Qubit
Hundreds of brands use Qubit CommerceAI to power the next generation of product recommendations, badging and insights to build exceptional customer experiences. Learn which products drive performance and which don't, through automated insights you can action. Qubit CommerceAI generates a model per shopper to make every customer interaction more relevant. Qubit fuses data, intent, and design tools to enable your team to create more effective customer experiences. By collaborating with real eCommerce teams we've built the next-gen personalization tool. No code. No clunkiness. The world's first customer-to-product recommendations engine, made possible with deep learning technology. Harness the power of our model-per-shopper technology and layer on business rules to create the most relevant product recommendations to date. Access the same recommendations technology that drives the unrivaled success of YouTube and Google.
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Product Details
Platforms Supported
SaaS
Training
Documentation
Videos
Support
Online
