Audience
Retail, ecommerce
About Algonomy Recommend
Recommend is an eCommerce personalization platform that delivers individualized, contextually relevant product recommendations using a library of 150+ pre-built recommendation strategies. It also empowers you to build and test custom personalization strategies with ease without having to depend on your data science team. Further, the platform offers merchandising controls to boost, restrict, or set manual rules to help you meet specific business objectives.
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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.
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ContextIQ
Online consumers prefer recommendations that are relevant to their needs or interest. You can now give them an enhanced experience with behavior profiling and contextual targeting. Use our recommendation engine to offer a more focused personalization. Keep your visitors hooked with personalized content. Greater the time a user spends on a site, higher the chances of a conversion. Help shoppers find stuff buried deep within your eCommerce store. Increase sales through timely and intelligent product recommendations. Showcase products or content that interest the user. Only relevant suggestions capture user attention and lead to fruitful interactions. ContextIQ is an easy-to-deploy personalization solution that uses collaborative filtering algorithms to produce recommendations. It is capable of suggesting content to users through behavioral targeting.
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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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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.
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Integrations
Company Information
Algonomy
Founded: 2020
United States
algonomy.com/omnichannel-personalization/personalized-product-recommendations/
Videos and Screen Captures
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Product Details
Platforms Supported
Cloud
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
24/7 Live Support
Online
Algonomy Recommend Frequently Asked Questions
Algonomy Recommend Product Features
eCommerce Personalization
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights
A/B Testing
Abandoned Cart Email
Dynamic Pricing
