Reduce Amazon Forecast
costs with these tips

These proven tips can save you up to 30% on AWS costs!

* Savings are averaged out across customers & services

Amazon Forecast cost saving tips Optimize your Amazon Forecast costs with these tips


Delete Unused Models

Review your forecasting models regularly and delete any unused ones. You are charged for active models, so this can reduce costs.


Filter Data Variables

Filter your time-series data to include only most relevant variables. Publishing large amounts of data can increase training costs.


Automatic Model Tuning

Use Amazon Forecast's automatic model tuning to get good results with less effort. This can help optimize costs compared to manual experimentation.

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“We found that our AWS costs were spiraling out of control. Following ElasticScale their advice we were able to save 60% on costs without compromising performance!”

John Schrijvers
John Schrijvers
CEO of Dataswitcher

Other AWS cost saving tips We also have tips for the following AWS services

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About Amazon Forecast Service information & pricing

About Amazon Forecast

Amazon Forecast is a machine learning service for accurate business forecasting. It predicts product demand, optimizes workforce planning, and estimates travel demand. This service leverages time-series analysis for large-scale operations, helping optimize inventory, improve long-term decision-making and enhance customer satisfaction. You can start easily with Amazon Forecast, which is available for a free trial on the AWS Free Tier.

↗ More information on AWS website

Amazon Forecast pricing

Amazon Forecast pricing depends on four factors: data import ($0.088/GB), predictor training ($0.24/hour), forecast data points, and explanations. These last two are tiered based on amount. A free tier is available for the initial two months. AWS Pricing Calculator can help estimate the cost using Amazon Forecast.

↗ More information on AWS website

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