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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

Celebros has developed a robust recommendation engine that effectively understands your product inventory and proposes relevant items to enhance your customers' shopping experience. Its Cross Sell feature utilizes sophisticated merchandising technology that analyzes real-time search data and user behavior, suggesting complementary products from your catalog as shoppers navigate from the landing page to their shopping carts. This innovative tool empowers customers to discover and buy additional items that pair well with their current selections. By leveraging advanced natural language processing algorithms and historical purchase data, Cross-Sell provides tailored product recommendations that can help boost your average order value (AOV) and create a more customized shopping journey. Moreover, the system allows you to configure the recommendations to align with your specific merchandising strategies, recognizing that different categories, brands, and SKUs require unique approaches rather than a one-size-fits-all solution. This level of personalization not only enhances customer satisfaction but also drives repeat business by fostering a more engaging shopping environment.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS AI Services Yes 
AWS App Mesh Yes 
HiConversion Yes 
Webvar Yes 

Integrations

AWS AI Services No 
AWS App Mesh No 
HiConversion No 
Webvar No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/personalize/

Vendor Details

Company Name

Celebros

Country

United States

Website

celebros.com

Product Features

eCommerce Personalization

A/B Testing No 
Abandoned Cart Email No 
Dynamic Pricing No 
Offers & Discounts Notifications No 
Personalized Site Navigation No 
Product Recommendations No 
Reporting / Analytics No 
Social Insights No 

Product Features

eCommerce Personalization

A/B Testing No 
Abandoned Cart Email No 
Dynamic Pricing No 
Offers & Discounts Notifications No 
Personalized Site Navigation No 
Product Recommendations No 
Reporting / Analytics No 
Social Insights No 

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