COMPARATIVE ANALYSIS OF PHARMACEUTICAL PRODUCT CLASS PERFORMANCE ACROSS RETAIL, GOVERNMENT, PRIVATE, AND INSTITUTIONAL CHANNELS
Abstract
The pharmaceutical industry increasingly relies on data-driven analytics to improve distribution efficiency, supply chain management, and healthcare accessibility across multiple healthcare sectors. The present study comparatively analyzed pharmaceutical product-class performance across retail, government, private, and institutional distribution channels using a large-scale secondary pharmaceutical sales dataset containing 254,082 transactional records collected between 2017 and 2020. A quantitative retrospective research design was adopted, and statistical analyses including descriptive statistics, one-way ANOVA, temporal trend analysis, geographic assessment, and predictive modeling were performed to evaluate channel-wise pharmaceutical sales performance. The findings revealed significant differences in pharmaceutical product-class performance across healthcare channels, with retail channels contributing the highest sales revenue, followed by government and institutional sectors. Analgesics emerged as the strongest-performing pharmaceutical product class in terms of revenue generation. Temporal analysis identified substantial yearly and monthly sales
fluctuations, while geographic analysis demonstrated higher pharmaceutical market concentration in Germany compared with Poland. Predictive modeling using Random Forest Regression achieved high analytical accuracy, indicating strong relationships between sales performance and variables such as product class, pricing, quantity sold, and channel type. Overall, the study highlights the importance of channel-specific pharmaceutical analytics for improving strategic decision-making, inventory optimization, procurement planning, and healthcare distribution efficiency within modern pharmaceutical supply chains.
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