Capitalising product associations in a supermarket retail environment

Author

Michelle L. F. CHEONG, Singapore Management UniversityFollow
Yong Qing CHIA, Singapore Management UniversityFollow

Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

11-2020

Abstract

This paper explores methods to capitalise on retail companies’ transactional databases, to mine meaningful product associations, and to design product placement strategies as a means to drive sales. We implemented three in-store initiatives based on our hypotheses – placing products with high associations together will induce an increase in sales of consequent; introducing an antecedent that is new to store will bring about a similar impact on sales of consequent based on established product association rules uncovered from other stores. Sales tracking over twelve weeks revealed that there were improvements in sales of consequents across all three initiatives performed in-store.

Keywords

Association Mining, Market Basket Analysis, Shopper Marketing, MITB student

Discipline

Asian Studies | Computer Sciences | Databases and Information Systems | Sales and Merchandising

Research Areas

Intelligent Systems and Optimization

Publication

Decision Sciences Institute 51st Annual Conference 2020: November 21-23, Proceedings

First Page

205

Last Page

215

ISBN

9780578626482

Publisher

Decision Sciences Institute

City or Country

Houston, TX

Citation

CHEONG, Michelle L. F. and CHIA, Yong Qing. Capitalising product associations in a supermarket retail environment. (2020). Decision Sciences Institute 51st Annual Conference 2020: November 21-23, Proceedings. 205-215.
Available at: https://ink.library.smu.edu.sg/sis_research/5430

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.