Solve forecasting challenges for the retail and CPG industry using Amazon SageMaker Canvas

This article discusses how Amazon SageMaker Canvas can solve forecasting challenges for retail and consumer packaged goods (CPG) industries using machine learning and no-code tools.

• SageMaker Canvas offers a no-code ML service for business analysts to build forecasting models
• Uses six different algorithms with autoML to create optimal forecasting models
• Supports quantile regression to provide probabilistic forecasts with multiple scenario predictions
• Includes what-if analysis to explore how input changes impact predictions
• Provides easy model training, performance metrics, and integration capabilities

The service enables businesses to make more informed decisions about inventory, sales, and demand prediction by leveraging machine learning without requiring extensive technical expertise.