Paper Info
Title
Personalization in Dynamic Assortment Planning: An Analysis Based on Multi-Agent Simulation Method
Abstract
Assortment planning is one of the most critical issues in retail category management. This research aims to introduce personal data into traditional assortment planning problem. Firstly, we analyze decision process of customer and retailer, and formulate consumer choice model and retailer assortment planning model. Based on that, a multi-agent simulation system is constructed, to evaluate effect of personalization and explore assortment strategies in different scenarios. Result of simulation experiment shows that, personalized assortment planning model and algorithm proposed in this research can effectively improve retail performance.
Year
DOI
Venue
2017
10.1109/ES.2017.32
2017 5th International Conference on Enterprise Systems (ES)
Keywords
Field
DocType
personalization,dynamic assortment planning,multiagent simulation method,critical issues,retail category management,consumer choice model,retailer assortment planning model,multiagent simulation system,assortment strategies,simulation experiment,personalized assortment planning model,retail performance,assortment planning problem
Simulation system,Category management,Computer science,Consumer choice,Assortment planning,Operations research,Decision process,Marketing,Personalization
Conference
ISSN
ISBN
Citations 
2377-8636
978-1-5386-0937-8
0
PageRank 
References 
Authors
0.34
6
2
Name
Order
Citations
PageRank
Shu Yun Yang110.70
Lefei Li26910.15