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ease
features
design
support

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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

Transform your traffic insights into strategic actions by categorizing users based on their browsing habits and behaviors. By grouping similar users, you can effectively identify those who deserve rewards, motivation, or a nudge to return, while also determining which brands, categories, and offers yield the highest conversion rates. Initiate the process by providing a browsing history feature, showcasing products that users have recently viewed or purchased. Additionally, remind them of items left in their cart that they haven't yet bought. Crucially, ensure that this approach encompasses all users, including those who are anonymous or unregistered. Utilizing advanced AI capabilities, you can enhance the shopping experience through personalized recommendations tailored to each shopper’s preferences and intentions. Furthermore, manage multiple recommendation campaigns by experimenting with various algorithms that align with the purchasing journey, tapping into numerous personalization strategies like affinity based on browsing and non-click behaviors. This comprehensive approach not only boosts engagement but also fosters a deeper connection with your customer base.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS AI Services
AWS App Mesh
AWS Marketplace
Amazon Web Services (AWS)
HiConversion
Webvar
eBay

Integrations

AWS AI Services
AWS App Mesh
AWS Marketplace
Amazon Web Services (AWS)
HiConversion
Webvar
eBay

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

€49 per month
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

Predixit

Founded

2015

Country

Italy

Website

en.predix.it/come-funziona-il-processo

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

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Alternatives

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