Amazon Personalize Description
Amazon Personalize allows developers to create applications using the same machine learning technology (ML) used by Amazon.com to provide personalized recommendations in real time. No ML expertise is required. Amazon Personalize allows developers to easily create applications that can deliver a wide range of personalized experiences. This includes product recommendations, personalized product ranking, and targeted direct marketing. Amazon Personalize is a fully managed machine-learning service that goes beyond static rule-based recommendation systems. It trains, tunes and deploys customML models to deliver highly personalized recommendations to customers in a variety of industries, including media and entertainment. Amazon Personalize provides the infrastructure and manages all aspects of the ML pipeline. This includes processing the data, identifying features and using the best algorithms. Training, optimizing and hosting the models are also included.
Amazon Personalize Alternatives
Qubit
Qubit CommerceAI powers hundreds of brands to generate product recommendations, badging, and insights that help them build exceptional customer experiences. Automated insights allow you to identify which products are performing well and which ones don't. Qubit CommerceAI creates a model for each shopper to make each customer interaction more relevant. Qubit combines data, intent, as well as design tools to help your team create better customer experiences. We have created the next-generation personalization tool by working with real ecommerce teams. No code. No clunkiness. Deep learning technology enabled the world's first customer to product recommendation engine. To create the most relevant product recommendations, harness the power of our model per-shopper technology and add business rules. Get the same recommendations technology as YouTube and Google.
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Beveel
Beveel is Afrikaans for "recommend", and it's a customer personalization engine that makes recommendations you can use on your website, emails, or social media channels. Beveel is an artificial intelligence and machine learning-based personalization engine that can be used to personalize commerce. Beveel personalizes the commerce experience of your customers and delivers the best and most relevant experience. Your average order value (AOV) will increase by 30% compared to similar products. Our visual recommendation engine makes it easy to recommend visually similar products to customers using deep learning techniques and Convolutional Neuro Network (CNN). The tuning service by Beveel allows merchandisers the ability to specify their preference for showcasing products that are optimized for Revenue/Margin and Engagement, as well as Conversion. Our purchase intent engine (PIE), matches customer behaviours on the site to personalize the experience.
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Constructor.io
Automate product discovery to learn customer intent. Machine learning can optimize results across the board. Personalize search, autosuggests, browse, and recommendation results for each user. Computational approaches that infer intent from a user's search query. Continuously updated search results rankings using automated learning from behavioral data. Data-driven, integrated effort to provide unique results for every person and query. Advanced tools to complement automated results with merchant expertise. Automate product discovery to learn customer intent. Machine learning can optimize results across the board. You can personalize search, autosuggest and browse results for each user. Natural language processing interprets the query and provides conversion-worthy results as users type. Constructor Search learns from behavioral data.
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HiConversion
Customers are now more in control of how they shop online. Only the best experiences will keep them coming back. It is more important than ever that you deliver personalized, relevant buying experiences to all your customers, at all times, across all segments and throughout the customer's entire lifecycle. HiConversion's deep machine-learning algorithms and detailed customer data allow you to present highly relevant product recommendations in real time - all based upon your visitors' behavior during live-shopping sessions. You can say goodbye to traditional product recommendations that don't take into account the changing preferences of online shoppers. You can run multiple experiments simultaneously to turbocharge your conversion rate optimization. Our self-learning algorithms adjust to visitor preferences in real time to minimize risk and maximize revenue lift.
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Integrations
Company Details
Company:
Amazon
Year Founded:
1994
Headquarters:
United States
Website:
aws.amazon.com/personalize/
Media
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Product Details
Platforms
SaaS
Type of Training
Documentation
Videos
Customer Support
Online
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