Determination of Drivers of Stock-Out Performance of Retail Stores using Data Mining Techniques
Research Fest 2008
This project utilizes data mining techniques to determine the drivers of stock-out performance. Best performing and worst performing clusters of stores were identified using data clustering techniques. Furthermore, Logistic regression and multiple ordinary-least-squares regression were used to gain further insights and quantify the drivers of stock-outs.
22-May-08, Session 1 (8:30-9:30)
You need to log in, in order to post comments.
More from ResearchFest 2008
Added over 8 years ago | 00:12:40 | 29867 views
Added over 8 years ago | 00:17:19 | 20759 views
Added over 8 years ago | 00:22:05 | 23791 views
Added over 8 years ago | 00:18:06 | 24215 views
Added over 8 years ago | 00:23:56 | 18825 views
Added over 8 years ago | 00:21:50 | 22216 views