BytePlus RecommendBytePlus
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Related Products
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About
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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About
Turn your traffic data into actionable data. Store the browsing behaviors, classifying each user in similar behavior groups. Identify your users to reward, to motivate and to get back, as well as find out what are your best brands, categories and offers with high conversion potential. Start by offering a browsing history page, with products seen or purchased recently. Remind the latest abandoned products in the cart, which have never been bought. Last but not the least, do it for all users, even for anonymous and non-registered. AI leverages our predictive technology to deliver a personalized shopping experience. Display personalized product recommendations based on each shopper's preference and intent. Manage many recommendation campaigns, Experimenting different algorithms according to the purchasing process. Different algorithms are available to personalize the shopping experience among others affinity, based on browsing history and non-click behavior.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies interested in product recommendations tailored to their customers' preferences in a fully-managed service
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Audience
Businesses in need of an eCommerce personalization platform to turn their traffic data into actionable data.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
€49 per month
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Company InformationBytePlus
Founded: 2021
Singapore
www.byteplus.com/en/product/recommend
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Company InformationPredixit
Founded: 2015
Italy
en.predix.it/come-funziona-il-processo
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Categories |
Categories |
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eCommerce Personalization Features
A/B Testing
Supported
Abandoned Cart Email
Not Supported
Dynamic Pricing
Supported
Offers & Discounts Notifications
Not Supported
Personalized Site Navigation
Supported
Product Recommendations
Supported
Reporting / Analytics
Supported
Social Insights
Not Supported
Machine Learning Features
Deep Learning
Supported
ML Algorithm Library
Supported
Model Training
Supported
Natural Language Processing (NLP)
Not Supported
Predictive Modeling
Supported
Statistical / Mathematical Tools
Supported
Templates
Not Supported
Visualization
Not Supported
Personalization Features
A/B Testing
Supported
Abandoned Cart Saver
Not Supported
Account Based Marketing
Supported
Behavioral Targeting
Supported
Campaign Segmentation
Supported
Content Analytics
Supported
Contextual Targeting
Supported
Customer Profiles
Supported
Experience Management
Supported
Recommendation Engine
Supported
Website Personalization
Supported
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Integrations
AWS Marketplace
Not Supported
Amazon Web Services (AWS)
Not Supported
eBay
Not Supported
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Integrations
AWS Marketplace
Supported
Amazon Web Services (AWS)
Supported
eBay
Supported
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