Project Details
- Redesign & resolution of the product hierarchy discrepancies by working with the business & user base to confirm items within the category & sub-category challenged areas
- Design & architect the data staging environment for incoming artificial intelligence (AI) & existing data in the ePBCS application
- Marrying AI & user data to get the data sets to a common granularity
- Integrate ePBCS Cloud application by designing & creating data pipelines
- Validate the current ePBCS KPIs with predicted model KPIs
Business Outcomes
- User predictions became aligned & AI budget predictions were over 80% accurate
- Fully functional & reliable AI prediction models with user prediction accuracy improved by learning the prediction techniques
