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We aim to facilitate a genuine transformation in organizations through the power of data science and machine learning. As a dedicated AI product studio, our team of 100 skilled data scientists and engineers boasts a rich background from both agile digital startups and established multinational corporations. Our commitment goes beyond simply crafting visually appealing presentations and dashboards; we emphasize the development of automated data solutions that integrate smoothly into actual business processes. Instead of merely tracking engagement metrics, we highlight the expertise of our data scientists and engineers. Our mission is grounded in the effective implementation of data science solutions in the cloud, adhering to high standards of continuous integration and automation practices. We are dedicated to nurturing the most talented and forward-thinking data professionals by fostering an inspiring and fulfilling work environment in Central Europe. By empowering our team to harness our shared knowledge, we consistently explore and enhance the most promising data-driven opportunities for our clients and our own innovative products, striving to maintain our leading position in the field. This approach not only elevates our clients' capabilities but also cultivates a vibrant culture of creativity and teamwork within our studio, driving us to continually evolve in a fast-paced industry. Through collaboration and innovation, we seek to not only meet but exceed the expectations of our stakeholders.
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
Amazon Web Services (AWS)
Databricks Data Intelligence Platform
Microsoft 365
Microsoft Azure
Integrations Supported
Amazon Web Services (AWS)
Databricks Data Intelligence Platform
Microsoft 365
Microsoft Azure
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
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
DataSentics
Company Location
Czech Republic
Company Website
datasentics.com
Company Facts
Organization Name
BytePlus
Date Founded
2021
Company Location
Singapore
Company Website
www.byteplus.com/en/product/recommend
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights
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
Retail Execution
AI / Image Recognition
Collaboration Tools
Data Collection
Inspection
Pricing / Placement Optimization
Product Education
Product Promotion Strategy
Retail Site Audit
Workforce Management
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
eCommerce
CRM
Catalog Management
Channel Management
Customer Accounts
Data Security
Email Marketing
Inventory Management
Kitting
Loyalty Program
Mobile Access
Multi-Store Management
Order Management
Product Configurator
Promotions Management
Returns Management
Reviews Management
SEO Management
Shopping Cart
Templates
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