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What is excentos Workbench?
Excentos Product Guides skillfully guide customers through a series of simple questions to pinpoint the most suitable products for their specific requirements. By offering an engaging shopping experience, you enable your customers to uncover which items best match their tastes and preferences. Crafting your own Product Guide within the Excentos Workbench is a straightforward process that consists of just five simple steps. Nonetheless, navigating product data can often be challenging, as it is sometimes inaccurately presented or difficult to interpret online. Our cutting-edge AI Data Trainer technology empowers you to improve your product data by adding meaningful attributes. Utilize your expertise to classify existing product information with an array of qualities, features, or other pertinent attributes. Moreover, you can create fresh attributes founded on your specialized knowledge and insights regarding the products. For example, you could establish a variety of style attributes for different coat types, highlighting the diversity and richness of your product range. This method not only enhances the shopping journey but also guarantees that customers receive personalized recommendations that genuinely reflect their unique preferences and desires. Ultimately, this level of customization fosters a deeper connection between the customer and the products they choose.
What is BytePlus Recommend?
A fully managed solution that offers personalized product suggestions specifically designed to meet your customers' unique needs. BytePlus Recommend utilizes our advanced machine learning capabilities to generate real-time and targeted recommendations. Our top-tier team has an impressive history of providing insights on some of the most renowned platforms globally. By analyzing user data, you can enhance engagement and create tailored suggestions that align with customer behaviors. BytePlus Recommend is user-friendly, seamlessly integrating with your current infrastructure while automating the machine learning processes. Drawing upon our extensive research in machine learning, BytePlus Recommend crafts personalized recommendations that resonate with your audience's tastes. Our expert algorithm team is proficient in formulating bespoke strategies that adapt to evolving business objectives and requirements. The pricing structure is based on the outcomes of A/B testing, ensuring that your investment aligns with your business needs and optimization goals are effectively established. This commitment to adaptability and precision makes BytePlus Recommend an invaluable asset in your marketing toolkit.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
$269 per month
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
excentos
Date Founded
2007
Company Location
Germany
Company Website
www.excentos.com/en/workbench
Company Facts
Organization Name
BytePlus
Date Founded
2021
Company Location
Singapore
Company Website
www.byteplus.com/en/product/recommend
Categories and Features
Personalization
A/B Testing
Abandoned Cart Saver
Account Based Marketing
Behavioral Targeting
Campaign Segmentation
Content Analytics
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization
Categories and Features
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Personalization
A/B Testing
Abandoned Cart Saver
Account Based Marketing
Behavioral Targeting
Campaign Segmentation
Content Analytics
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization