INITIAL SITUATION

The customer was experiencing unusual behavior where the reported sales figures were occasionally anomalous.

For this reason, it was necessary to manually check how much sales were made and whether there were any anomalies in the original figures.

SOLUTION

An ML model was trained to detect such anomalies and visualize them to the users in a dashboard.

BUSINESS VALUE

It saved time by eliminating manual error checking and allowed for a more accurate knowledge of revenue.

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FRAMEWORK & TOOLS

Oracle, Pyspark, Sklearn, Pandas, Tableau