Predictive Analytics and SAP Integration in Pharmaceutical Supply Chain Management: A Comprehensive Analysis

The pharmaceutical industry faces significant challenges in supply chain management, particularly in maintaining optimal inventory levels and ensuring timely medication delivery. This comprehensive article examines the integration of predictive analytics and SAP systems in pharmaceutical supply chain management, focusing on their transformative impact on operational efficiency and risk management. The article explores the evolution from traditional reactive approaches to modern predictive analytics, analyzing the implementation of SAP's technical framework for demand forecasting and inventory optimization. Through examination of multiple case studies and research findings, this article demonstrates how the convergence of advanced analytics with enterprise resource planning systems has revolutionized pharmaceutical supply chains, leading to substantial improvements in forecast accuracy, inventory management, and overall operational efficiency while ensuring regulatory compliance and quality standards.

Authors

Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-04-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n30104110
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Predictive Analytics and SAP Integration in Pharmaceutical Supply Chain Management: A Comprehensive Analysis

Maheswar Reddy Byreddy
European Journal of Computer Science and Information Technology
Big Data and Business Intelligence
article

Predictive Analytics and SAP Integration in Pharmaceutical Supply Chain Management: A Comprehensive Analysis

Maheswar Reddy Byreddy
article en

Abstract

The pharmaceutical industry faces significant challenges in supply chain management, particularly in maintaining optimal inventory levels and ensuring timely medication delivery. This comprehensive article examines the integration of predictive analytics and SAP systems in pharmaceutical supply chain management, focusing on their transformative impact on operational efficiency and risk management. The article explores the evolution from traditional reactive approaches to modern predictive analytics, analyzing the implementation of SAP's technical framework for demand forecasting and inventory optimization. Through examination of multiple case studies and research findings, this article demonstrates how the convergence of advanced analytics with enterprise resource planning systems has revolutionized pharmaceutical supply chains, leading to substantial improvements in forecast accuracy, inventory management, and overall operational efficiency while ensuring regulatory compliance and quality standards.

European Journal of Computer Science and Information TechnologyVol. 13(30)
Openalex Percentile: Top 80%
Big Data and Business Intelligence
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