| Abstract |
This study will develop data-mining algorithms and techniques that will help us answer following questions:
• Replacement Analysis
Which are the items more prone for return?
How quickly these ‘coming-in’ items get sold?
What is the categorization of returned goods?
What items are taken back by customers as substitutes for return items?
• Market Basket Analysis
to understand the relationship between various SKUs
customer segmentation and change in market basket vis-a-vis customer segments
store layout designing using data mining techniques |