Retail Commission Diagnostics
Anomalies in reported sales figures.
Dashboard, ML model
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.
An ML model was trained to detect such anomalies and visualize them to the users in a dashboard.
It saved time by eliminating manual error checking and allowed for a more accurate knowledge of revenue.
FRAMEWORK & TOOLS
Oracle, Pyspark, Sklearn, Pandas, Tableau