Amazon Forecast

Amazon Forecast

Time Series Forecasting Service - AWS - Amazon.com

AppCritica Score 3.5/5

What is Amazon Forecast?

Amazon Forecast provides a fully managed service that applies statistical and machine learning algorithms to generate time-series forecasts from historical data. It automates the forecasting process, including model selection and handling of missing values, so users prepare datasets and interpret predictions. The service uses technology developed for Amazon.com forecasting, supports APIs, AWS CLI, SDKs, and console for importing data, training predictors, and creating forecasts. It incorporates built-in datasets and related time series for improved accuracy without machine learning experience required.

More About Amazon Forecast

  • Automated machine learning finds optimal algorithm combinations
  • State-of-the-art algorithms from statistical methods to neural networks
  • Missing value support with automatic filling methods
  • Additional built-in datasets for model improvement
  • Automatic model quality monitoring over time
  • Forecast Explainability with impact scores for factors like price or weather
  • Weather Index for local weather data integration
  • Probabilistic forecasts at selectable quantiles
  • Support for any historical time series data with related variables
  • Forecasting focused on subsets of items
  • Six accuracy metrics with backtesting

Pros & Cons

Pros:

Automates model selection to improve accuracy up to 40% over traditional methods

Handles missing values and data preparation automatically

Incorporates weather data at no extra cost for better demand forecasts

Cons:

Requires data import and preparation as initial steps

Forecasts limited to time horizons based on historical data length

Compute costs apply to training and inference operations

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