Published in Data Science and Engineering (DSE) Record 2024 Vol. 5 No. 1 pp. 97-110
Abstract
The layout of a retail establishment has an essential part in attracting and maintaining clients, thereby influencing sales. This study focuses on the issue of customers in hardware stores seeking assistance as a result of insufficient organization. By utilizing purchase history and doing market basket research, a data-driven method is suggested to enhance the store design. Market basket analysis is a technique that derives association rules from consumer purchasing data, facilitating the identification of products that are connected with each other. The objective is to minimize the distance to get the items in the hardware store which will increase customer satisfaction by reorganizing the store layout using consumer transaction data.