Abstract: Methods and systems for analyzing trends in sale data for a retail enterprise are described. A retail analysis platform includes a data extraction and analysis automation platform, a feature transformation application, a modeling environment, and a dashboard application. Analysis begins with recent sales data. Baseline sales for the retail enterprise are removed from the recent sales data. Then the effects of seasonality and local disruptions are removed by utilizing different weights of driver data for each item category and store location. This top down approach results in more accurate reporting of sales trends and attribution of deviations from demand forecasts to particular drivers. The analysis can be scheduled to automatically initiate on a regular basis.

Abstract: Methods and systems for analyzing trends in sale data for a retail enterprise are described. A retail analysis platform includes a data extraction and analysis automation platform, a feature transformation application, a modeling environment, and a dashboard application. Analysis begins with recent sales data. Baseline sales for the retail enterprise are removed from the recent sales data. Then the effects of seasonality and local disruptions are removed by utilizing different weights of driver data for each item category and store location. This top down approach results in more accurate reporting of sales trends and attribution of deviations from demand forecasts to particular drivers. The analysis can be scheduled to automatically initiate on a regular basis.