Forecast Accuracy Intelligence
This dashboard is a machine learning-based dashboard that is part of the Forecast Accuracy Intelligence business scenario. It examines different part, location, demand and other attributes to learn about historical forecast tracking signals. It can help you understand the following:
• Root cause identification for under and over forecast items
• Prediction of profile members that are at high risk of over and under forecasting
The widgets on the Forecast Accuracy Intelligence dashboard are separated into three mini-dashboards:
• Forecast Data Overview — The Total SKU streams that were analyzed and their spread of tracking signal
• Importance w.r.t. Tracking Signal — All of the key features that are governing the accuracy of the forecast
• Profiles — The set of SKUs that have specific criteria that was predicted to be highly, and consistently, over or under forecasted, with very high confidence.