Optimization of pharmacy membership management system based on big data: Sleeping member activation and awakening methods using ANN modeling.

ABSTRACT: In the retail industry, effective management of memberships is crucial, particularly within the pharmaceutical sector, as it fosters customer loyalty and drives sales growth. However, pharmacies often face challenges related to membership attrition and inactive members, which restrict the full potential of their membership programs. This research aims to address these challenges by optimizing pharmacy membership management systems through the utilization of big data technology. By leveraging the power of big data and employing machine learning algorithms, this study examines member data from multiple prominent pharmacy chains. The findings demonstrate the effectiveness of this approach in significantly increasing the level of activity among inactive memberships. Furthermore, this research

SUBMITTER: Liang J 

PROVIDER: S-EPMC11647794 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature