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Description
Amazon Personalize allows developers to create applications utilizing the same machine learning (ML) technology that powers real-time personalized recommendations on Amazon.com, all without requiring any prior ML knowledge. This service simplifies the development of applications that can provide a variety of personalized experiences, such as tailored product suggestions, reordering of product listings based on user preferences, and individualized marketing campaigns. As a fully managed ML service, Amazon Personalize surpasses traditional static recommendation systems by training, tuning, and deploying custom ML models that offer highly tailored recommendations for various sectors, including retail and media. The platform takes care of all necessary infrastructure, managing the complete ML pipeline, which encompasses data processing, feature identification, selection of optimal algorithms, and the training, optimization, and hosting of the models. By streamlining these processes, Amazon Personalize empowers businesses to enhance user engagement and drive conversions through advanced personalization techniques. This innovative approach allows companies to leverage cutting-edge technology to stay competitive in today's fast-paced market.
Description
PureClarity excels in the realm of smart ecommerce personalization, providing a software solution that boasts an extensive array of features designed to boost revenue and enhance average order value, effectively transforming your online visitors into devoted customers. Differentiate yourself from the competition by offering your customers a uniquely tailored shopping experience that captivates and retains their interest. Utilize personalized banners, images, and text to not only engage visitors but also motivate them to make purchases and encourage repeat business. Leverage dynamic product recommendations to effectively upsell and cross-sell at the most opportune moments. Regardless of whether your online store has minimal or extensive trading history, our robust recommender system adapts and identifies the most suitable products to present. Assist customers in discovering exactly what they seek by showcasing relevant items during their search process. Additionally, implement tailored email marketing campaigns to draw customers back by referencing products they have previously viewed or purchased, seamlessly integrating with your current Email Service Provider such as Mailchimp or Dotdigital. This comprehensive approach ensures that you are not just meeting customer expectations but exceeding them, ultimately fostering long-term loyalty.
API Access
Has API
API Access
Has API
Integrations
AWS AI Services
AWS App Mesh
BigCommerce
HiConversion
Magento
Mailchimp
Shopify
Webvar
WooCommerce
X-Cart
Integrations
AWS AI Services
AWS App Mesh
BigCommerce
HiConversion
Magento
Mailchimp
Shopify
Webvar
WooCommerce
X-Cart
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/personalize/
Vendor Details
Company Name
PureClarity Technologies
Founded
2014
Country
United Kingdom
Website
www.pureclarity.com
Product Features
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights
Product Features
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights