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Machine learning in AWS Forecast/Sagemaker. SQL Server to prep, clean, adjust data

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satdaya/Demand-Forecasting-in-SQL-Server-and-AWS-Forecast

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Demand-Forecasting-in-SQL-Server-and-AWS-Forecast

The purpose of this project is to:

a. Clean and prep historical order/invoice data in SQL Server, building out a customer and sku level hierarchy.

b. Use AWS Forecast to train/deploy a machine learning model to forecast customer demand in monthly buckets using time series history.

c. Pipe the resulting forecast back into SQL Server for data cleaning and analysis.

d. Display the resultant data in PowerBI in a manner accessible to multiple business end users (executive team, sales, operations).

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Machine learning in AWS Forecast/Sagemaker. SQL Server to prep, clean, adjust data

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