Amazon Personalize Reviews and Ratings

Rating: 9.6 out of 10

Score

9.6 out of 10

Reviews

5 Reviews

Great product to get accurate data for your work

Rating: 10 out of 10

Incentivized

November 28, 2022

Use Cases and Deployment Scope

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.

Pros

Easy to use
Get accurate data

Cons

Nothing for now

Likelihood to Recommend

Thanks to Amazon Personalize, we are getting strong and accurate data. That data giving us a great opportunity to see our weak points to improve and fix internally. This work schedule with these feedback and data, actually best way to improve our work and getting bigger in market. That is why Amazon Personalize is great tool for us.

Verified User

Professional in Information Technology (501-1000 employees)

Vetted Review

1 year of experience

Amazon Personalize to meet your daily Business Needs, Easy integrate

Rating: 8 out of 10

Incentivized

June 1, 2022

Use Cases and Deployment Scope

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.

Pros

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

Cons

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

Likelihood to Recommend

Well suited for vast business needs, Less suitable when planning for small limited business requirements. However, if the business is vast & the business requirements become vast, its easy to comprehend with Amazon Personalize, as most of the functions would be pre-built & as users, we can customize to our needs to meet business demands.

KAUSHIK DEBNATH

SAP BASIS Consultant in Information Technology at Bristlecone (501-1000 employees)

Vetted Review

1 year of experience

View profile

One of the best cloud, business-ready machine learning solutions.

Rating: 9 out of 10

Incentivized

May 29, 2022

Use Cases and Deployment Scope

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.

Pros

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

Cons

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.

Likelihood to Recommend

Amazon Personalize is well suited for business cases where you need to produce quality predictions and/or machine learning models using high amounts of data. It's convenient if you have a technical team with programming capabilities (ie. Python). Amazon Personalize may not be a good fit if you don't have technical capabilities in your team, as these are needed to really use it a full capacity.

Verified User

C-Level Executive in Information Technology (11-50 employees)

Vetted Review

1 year of experience

A fantastic way to make recommendation easy and straightforward

Rating: 10 out of 10

Incentivized

May 26, 2022

Use Cases and Deployment Scope

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.

Pros

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

Cons

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

Likelihood to Recommend

When I compared Amazon Personalize to others, I discovered that it has all of the features that I require as a developer. It is simple to create personalized recommendations for clients. Furthermore, it stores client data in an encrypted format that is not shared with the parent company Amazon. As a result, there is no risk of a data breach. It makes clients feel more secure and knowledgeable about the product they want to buy.

Avinash Saklani

Frontend Developer in Information Technology at Fiverr (1-10 employees)

Vetted Review

2 years of experience

View profile

Let Amazon do the heavy lift around ML for you and your team.

Rating: 10 out of 10

Incentivized

May 13, 2022

Use Cases and Deployment Scope

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.

Pros

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

Cons

Pricing could be better.

Likelihood to Recommend

Amazon Personalize has really made it possible for our product team to run experiments that allow for quick feedback loops. Using the learnings, we continue to refine our approach to customers so that their personalized experiences can become even more bespoke & delightful.

Verified User

Executive in Product Management (11-50 employees)

Vetted Review

1 year of experience

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