Name: Amazon Personalize
Rating: 9.6 (8 reviews)
Author: Amazon AWS

Call Center Workforce Optimization

Help Desk

Live Chat

Web and Video Conferencing

Customer Support

AI Development

Functional Testing

Innovation Management

No-Code Development

Development

Learning Management

Education

Business Intelligence (BI)

Collaboration

Enterprise Content Management

Enterprise Search

PDF Editors

Privacy Policy Generators

Transportation & Logistics

Enterprise

Accounting

Anti-Money Laundering (AML)

Hedge Fund

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Application Delivery Controllers (ADC)

Cloud Management

Cloud Storage

Converged Network Adapters (CNAs)

Data Center Cooling

Data Warehouse

Disk Cloning

Firewall

Fraud Detection

Integration Platform as a Service (iPaaS)

IoT Device Management

LAN Switches

Managed DNS

Network Operating Systems

Network Performance Monitoring

Software Composition Analysis (SCA)

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Channel Management

Contact Management

Content Management

Customer Experience Management

Email Deliverability

Email Marketing

Employee Advocacy

Marketing Automation

Mobile Advertising

Product Intelligence

Referral Marketing

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Field Sales Software

Government Contracting

Headless eCommerce

Sales Enablement

Sales Performance Management

Sales

Cloud Infrastructure Entitlement Management

Intrusion Detection

Security

Apparel

Fleet Maintenance

Loan Servicing

Restaurant POS

Text Analysis

Vertical-Specific

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### Machine Learning and Predictive Analytics
Some users praise Amazon Personalize for its robust machine learning and predictive analytics capabilities, highlighting its ability to analyze vast amounts of data and generate valuable insights for marketing predictions. However, others express concerns about the steep learning curve for those without prior machine learning experience and the necessity of technical expertise to fully leverage its capabilities. Despite differing opinions, it is evident that Amazon Personalize plays a significant role in enhancing user experiences and driving business growth through personalized recommendations and tailored search functionalities. (Source Reviews: [1](https://www.trustradius.com/reviews/amazon-personalize-2022-05-24-09-27-28), [2](https://www.trustradius.com/reviews/amazon-personalize-2022-05-30-17-24-28), [3](https://www.trustradius.com/reviews/amazon-personalize-2022-05-21-03-27-58))

### Real-Time Data Processing
Users also appreciate the speed to market that Amazon Personalize offers in terms of iterations and refinements based on real-time user activity and engagement. The support for real-time recommendations and ease of integration with other tools through APIs are highlighted as key strengths. However, some users express concerns about the limitations in real-time data processing capabilities, indicating room for improvement in this aspect. (Source Reviews: [1](https://www.trustradius.com/reviews/amazon-personalize-2022-05-05-13-26-19), [2](https://www.trustradius.com/reviews/amazon-personalize-2022-05-30-17-24-28), [3](https://www.trustradius.com/reviews/amazon-personalize-2022-05-24-09-27-28), [4](https://www.trustradius.com/reviews/amazon-personalize-2022-05-09-11-09-07))

### Transactional Data Insights
Some users praise Amazon Personalize for its robust transactional data insights capabilities, highlighting its ability to analyze vast amounts of transactional records and generate valuable user segments for marketing purposes. However, others express reservations about the platform's transactional data insights, citing challenges in effectively leveraging this data for predictive marketing strategies. The overall sentiment regarding Amazon Personalize's transactional data insights appears to be a mix of appreciation for its analytical power and concerns about its practical application in driving marketing predictions. (Source Reviews: [1](https://www.trustradius.com/reviews/amazon-personalize-2022-05-24-09-27-28))

### User Experience Enhancement
Users consistently praise Amazon Personalize for its ability to enhance user experiences. Reviewers highlight the platform's user-friendly interface and accurate product recommendations, which contribute to a more personalized and delightful user experience. Additionally, users appreciate how Amazon Personalize's personalized machine learning capabilities cater to the evolving demands of their businesses, leading to a more sophisticated and enhanced user experience. The general sentiment among users is that Amazon Personalize effectively enhances user experiences, paving the way for potential growth and improved customer satisfaction. (Source Reviews: [1](https://www.trustradius.com/reviews/amazon-personalize-2022-05-09-11-09-07), [2](https://www.trustradius.com/reviews/amazon-personalize-2022-05-21-03-27-58), [3](https://www.trustradius.com/reviews/amazon-personalize-2022-05-30-17-24-28))

### Feedback and Improvement Loops
Opinions on Amazon Personalize's feedback and improvement loops functionality vary among users. While some users praise the platform for facilitating quick feedback loops and enabling them to address weaknesses promptly, others express mixed feelings about its effectiveness in enhancing personalized experiences. The ability to gather real and strong feedback is acknowledged as a valuable asset by some, contributing to internal improvements and market growth. However, there are contrasting views on the consistency and impact of Amazon Personalize's feedback and improvement loops, with some reviewers indicating room for enhancement in this aspect. (Source Reviews: [1](https://www.trustradius.com/reviews/amazon-personalize-2022-05-05-13-26-19), [2](https://www.trustradius.com/reviews/amazon-personalize-2022-05-09-11-09-07))

Amazon Personalize uses machine learning algorithms to create recommendations that respond to the specific needs, preferences, and changing behavior of users in real-time, to drive increased customer engagement.

Amazon Personalize

Real-Time Interaction Management (RTIM) Software leverages customer data combined with most recent customer behavior to generate personalized, 1:1 marketing messages and offers in real-time. Essential to this is a business rules engine, and decision analytics relying on big data.

Real-Time Interaction Management

Likelihood to Recommend

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform.

Founded by Jeff Bezos, the Amazon.com website started in 1995 as a place to buy books because of the unique customer experience the Web could offer book lovers. Bezos believed that only the Internet could offer customers the convenience of browsing a selection of millions of book titles in a single sitting. During the first 30 days of business, Amazon fulfilled orders for customers in 50 states and 45 countries - all shipped from his Seattle-area garage.

Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.

Amazon AWS

Keysight Software Test Automation

Neptune DX Platform

V7Labs

SAP BASIS Consultant

Amazon Personalize 2022-05-30 17:24:28

Frontend Developer

Amazon Personalize 2022-05-21 03:27:58

Amazon Personalize 2022-05-24 09:27:28

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Machine learning

Learning experience

Business users

Frequent updates

Time consuming

Needs to improve

Getting started

Real time

Transactional data

World class

Free tier

Easy to use

Using this software

Accurate data

Quite simple

Speed to market

Home

Real-Time Interaction Management Software

Personalized Machine Learning used to deploy API for meeting demands of customers. The day-to-day business needs are on-boarded to Amazon Personalize to meet business increased demands. The capability enhances user experience too in a more sophisticated way. We see more potential growth in customer business with the use of Amazon Personalize.

Easily implement personalized
Personalize every touchpoint
High-quality delivery in real-time

More features
More in-built applications
More frequent updates
New user recommendations can be sometimes not easy

personalized ad placements
marketing communication improved
Real-time recommendations

Prioritizing business goals
Batch recommendations

Eggplant, from Keysight, V7 Darwin and Neptune DX Platform

Eggplant, from Keysight, V7 Darwin, Neptune DX Platform

It is one of Amazon Web Services' best machine learning services for website recommendations. I created a fashion store website for a client in which I used the Amazon Personalize API to provide the best recommendations based on the visitor's preferences. It enables clients to select the best products and generates a personalized search as a result. Amazon Personalize is simple to set up and quickly maintain each dataset, so you never have to worry about manually updating the data whenever visitors log in to your website.

Personalized Search.
Best Recommendations.
Maintaining the Dataset of Clients.

Repetitive Recommendations.
Needs to improve the search speed.
Costly to purchase.

Communication and Personalization Support.
User Friendly.
Accurate Recommendations of the Products.

Increase number of sales.
Interest from the clients.
Great Customer Support service.

Amazon Pay, Amazon Web Services and Google Classroom

Amazon Pay, Amazon Web Services, Google Cloud AI

We already using all Amazon environment. Amazon Personalize is giving us opportunity to get feedback from our internal team and customers. With that feedbacks, we are focusing on our weak sides and try to fix them so quickly to give best experience to our internal and external customers. That is why Amazon Personalize doing a great job.

Easy to use
Capable with other Amazon products

Giving accurate data to improve our work
Getting real and strong feedback to solve our problems

We were looking for a platform to generate user segmentation based on their platform usage. Our platform provides billing and invoicing applications to various kinds of businesses. As a by-product, we generate transactional data that we wanted to use to segment usage data in groups around their hours of operation, transaction amounts, and product/service types.

Ingest virtually unlimited quantities of transactional data.
Provide world-class training capabilities.
Provide a free-tier to start your project.

Getting started may be hard for someone without prior machine learning experience.
IDE tools may help business users utilize these tools without the help of a programmer.

Support for real-time recommendations.
Ease of integration with other tools using APIs.
Support for analyzing unstructured information (ie. texts).

We managed to analyze huge amounts of data from transactional records.
We produced 5 different user/profile segments for our marketing team.
We learned how to power marketing predictions using machine learning.

AWS Batch, AWS Lambda, Amazon S3 (Simple Storage Service)

We use Amazon Personalize to make bespoke experiences for our users. Rather than having a team of expensive engineers who are experienced with ML, ride the shoulders of the giant, that is, Amazon.

Real time recommendations based on user activity & engagement.
Speed to market when it comes to iterations & refinements.

Robust integration points across our tech stack (website, app, email marketing, etc.)

We were able to reduce our bounce rate significantly by personalizing our landing pages to the location that our users are visiting from.

Amazon Personalize

Overview

What is Amazon Personalize?