About this report
ABC-analysis report is prepared based on the daily sales and stocks by the end of the workday for the trade company in the Q1, 2019. The initial information was uploaded to SQL server with further calculation of ABC-analysis. Later based on calculated data, we used machine learning tools to get product rating changes forecast. It’s accuracy was around 83%.
Results
- Filter’s panel that filters needed analytics, while this filtering applies to all report lists.
- per product / per group / per store visualizations, both in cash and quantity
- deficit data based on product items that are not presented to customers per day
