OPTIMIZING COLD CHAIN MANAGEMENT FOR BIOLOGICS USING SAP EWM AND AI: A CASE STUDY IN TEMPERATURE-SENSITIVE PHARMACEUTICAL DISTRIBUTION

Authors

  • Tushar Chaudhari Supply Chain Solutions Architect, IBM, USA Author

Keywords:

Cold chain management, Biologics, Temperature-sensitive logistics, SAP, Extended warehouse management, AI, Logistics data

Abstract

The project shows the impact of integrated SAP EWM and AI on the cold chain logistics of
temperature sensitive biologics in the pharmaceutical industry is the focus of this research. Thus,
using the features of SAP EWM to track inventory and AI for predictive analytical capabilities, the
research’s goals are to eliminate temperature fluctuations, avoid spoilage, and meet regulatory
standards. Learned cases at Pfizer, Novartis, and Roche analysed in the project demonstrate how
these technologies may be used to support puff safe, efficient, legal distribution of biologics. The
integration of AI and SAP EWM increases cold chain logistics of pharmaceuticals, decreasing trial
times and product wastage.

Downloads

Published

2019-01-13

How to Cite

OPTIMIZING COLD CHAIN MANAGEMENT FOR BIOLOGICS USING SAP EWM AND AI: A CASE STUDY IN TEMPERATURE-SENSITIVE PHARMACEUTICAL DISTRIBUTION. (2019). INTERNATIONAL JOURNAL OF MANAGEMENT RESEARCH AND REVIEW, 9(1), 1-11. https://ijmrr.com/index.php/ijmrr/article/view/515

Most read articles by the same author(s)