Publication: Clustering grocery shopping paths of customers by using optimization-based models
Program
KU Authors
Co-Authors
Publication Date
Language
Embargo Status
Journal Title
Journal ISSN
Volume Title
Alternative Title
Abstract
This study presents a preliminary investigation of shopping behavior of customers in a grocery store. Using each customer's in-store shopping path information, gathered by a wireless video camera that is affixed to the shopping cart, we classify customers into a predetermined number of clusters, and create a shopping path-based segmentation of customers. For this purpose a number of optimization models are developed. The results are presented in this paper. The next step is to analyze this collected data from different perspectives and developing different optimization models to achieve a better solution to the above clustering problem.
Source
Publisher
Vilnius Gediminas Technical Univ Press, Technika
Subject
Computer Science, Artificial intelligence, Management, Operations research, Management science, Mathematics
Citation
Has Part
Source
20th International Conference, Euro Mini Conference Continuous Optimization and Knowledge-Based Technologies, Europt'2008