Customer and Product Classification using Machine Learning with Generation of Hypothesis Graphs
Abstract
This undertaking performs bunching of the items dependent on the exchange history of the item buys and after that partitions the items into dead stock, slow moving stocks and quick moving stock utilizing grouping calculation. After that the clients will be posed a progression of inquiries who have acquired moderate moving stock so as to discover the explanations for the buys and furthermore moderate moving stocks are arranged into high likeliness, medium likeliness and low likeliness with the goal that it encourages the web based business organization to design as needs be the future deals.
Fields of Study & Subjects
Data Mining and Machine Learning Applications
Customer churn and segmentation
Artificial Intelligence in Healthcare
Publication details
- Journal / source
- International Journal of Innovative Research in Advanced Engineering
- Volume
- 13
- Issue
- 02
- Pages
- 67–67
- Publication date
- 13 February 2026
- Language
- EN