... programming model that optimizes these decisions jointly to maximize campaign returns. Rather than assigning promotions to broad, manually defined customer segments, the framework applies machine learning to form data-driven micro-clusters based on customers’ estimated propensities for each promotion type...

...-Means algorithm served as an exploratory segmentation tool. Subsequently, principal component analysis ( PCA ) was applied for dimensionality reduction, followed by hierarchical density-based spatial clustering of applications with noise (HDBSCAN) as the primary clustering technique. This approach...

...Mahamaya Mohanty; Rashmi Singh; Ravi Shankar Purpose The purpose of this paper is to investigate ways to improve operational efficiency of outbound retail logistics considering retailers and consumers by using clustering approach. The retailers are allocated to serve a cluster of consumers...