CI_IA_Inventory_Outlier_Detection

The aim of this flow is to exhaustively analyse significant or unusual variations in the movements and unit value of items along several axes of analysis.
We transform the categorical variables into numerical values using one-hot encoding. In this way, we facilitate their manipulation using the isolation forest algorithm. Using this algorithm, we identify anomalies.