
Amazon Forecast Reviews in July 2026: User Ratings, Pros & Cons
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Amazon Forecast Reviews & Ratings
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Spotsaas Editor’s POV
Amazon Forecast requires SQL knowledge or AWS Lambda expertise to set up pipelines that feed data into the service. The platform doesn't include a visual data preparation layer—you'll need to validate data quality, handle missing values, and structure time-series data before import. In a demo, ask the vendor to walk through their data pipeline for a use case ...Read more
Amazon Forecast pros and cons
Accurate forecasting through machine learning capabilities.
Easy integration and usage, even for non-technical users.
Forecasting service with advanced analytics tools.
Scalability and reliability due to AWS infrastructure support.
Complex setup and configuration process, requiring in-depth knowledge of forecasting concepts.
Limited flexibility in customization options and forecasting algorithms.
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Showing 41-50 out of 79
AS
Anurag S
04/25/23
"Amazon Forecast Review"
What do you like best about Amazon Forecast? Its very helpful fully managed service which helps us with unsights using ML What do you dislike about Amazon Forecast? One downside would be since its a cloud based service it needs internet connectivity. What problems is Amazon Forecast solving and how is that benefiting you? It helped design a framework that gave accurate forecasts plus its fully managed so easy on user end.
MY
Moh Yusril I
02/11/23
"Using amazon forecast is very easy for beginner"
What do you like best about Amazon Forecast? I am a beginner in business forecasting and don't really understand coding, I use Amazon forecast, it's very easy, with this I can predict my products. the competitor is expensive What do you dislike about Amazon Forecast? -In Indonesia, I haven't met the community from Amazon Forecast, I want to be able to learn and discuss, I hope to meet the community, upgrade documentation and build community What problems is Amazon Forecast solving and how ...
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AJ
ABHISHEK J
02/07/23
""Amazon Forecast is a machine learning-based predictive analytics""
What do you like best about Amazon Forecast? Amazon forecast is a fantastic tool for time-series forecasting and predictive analytics software. It helped me in predicting business outcomes with ease. Overall it has quite an exemplary user interface. What do you dislike about Amazon Forecast? Overall it's an excellent predictive analytic and time-series forecasting product with a good user interface, but the pricing is little bit higher compared to other services. What problems is Amazon ...
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NB
Nayan B
01/25/23
"Amazon forecast experience"
What do you like best about Amazon Forecast? Amazon Forecast uses machine learning algorithms to automatically select the best method for forecasting your data, saving the user time and effort. What do you dislike about Amazon Forecast? While Amazon Forecast is user-friendly, it can still be complex for users who are not familiar with machine learning and time series forecasting. What problems is Amazon Forecast solving and how is that benefiting you? Amazon Forecast can be used to predict ...
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AU
Anonymous User
01/19/23
"Forecasting"
What do you like best about Amazon Forecast? Automated ordering system using Forecasting What do you dislike about Amazon Forecast? Some information is not accurate to forecasting. What problems is Amazon Forecast solving and how is that benefiting you? Mismatch inventory count.
MI
Muhammad Irsyad S
01/17/23
"My First Sight for Amazon Forecast"
What do you like best about Amazon Forecast? Amazon forecast automatically inspects & identifies the data & attributes to recommend the right/needed algorithm for your forecasting case. You can also custom the model for train & optimize. What do you dislike about Amazon Forecast? There aren't too many resources for the Amazon forecasting feature, but over time the features will definitely increase. Because Amazon Forecasting still developing & Machine Learning still has more future What ...
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AU
Anonymous User
01/14/23
"Highly Recommend for accurate forecasting"
What do you like best about Amazon Forecast? Ability to automatically identify patterns and trends in data saving me time What do you dislike about Amazon Forecast? Unable to customize in terms of tweaking the algorithm to fit my needs What problems is Amazon Forecast solving and how is that benefiting you? It solved the problem of having to manual incorporate external data sources such as weather and economic data.
AU
Anonymous User
01/14/23
"Comprehensive forecasting tool"
What do you like best about Amazon Forecast? Best in class from Amazon. Amazon forecast us a fully managed time series forecasting service that uses ML to predict future volume, traffic financial data etc. Can be used with AWS, it is intelligent, automatically detects the best techniques appropriate to the data and users need not have specialist knowledge. We can integrate external data sources too which is great and it also has the ability to work with the smallest granularity e.g. hourly ...
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AU
Anonymous User
01/14/23
"Highly Recommend for accurate forecasting"
What do you like best about Amazon Forecast? Ability to automatically identify patterns and trends in data saving me time What do you dislike about Amazon Forecast? Unable to customize in terms of tweaking the algorithm to fit my needs What problems is Amazon Forecast solving and how is that benefiting you? It solved the problem of having to manual incorporate external data sources such as weather and economic data.
KM
Kamel M
01/13/23
"Great"
What do you like best about Amazon Forecast? Amazon Forecast is a powerful machine learning tool that is easy to use and provides high accuracy predictions. It integrates well with other AWS services and is scalable to handle growing forecasting needs. What do you dislike about Amazon Forecast? However, it does have some downsides such as cost, limited customization options, and is primarily designed for time series data. Additionally, it requires data preparation before uploading it to ...
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Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].