OPTIMIZING COLD CHAIN MANAGEMENT FOR BIOLOGICS USING SAP EWM AND AI: A CASE STUDY IN TEMPERATURE-SENSITIVE PHARMACEUTICAL DISTRIBUTION
Keywords:
Cold chain management, Biologics, Temperature-sensitive logistics, SAP, Extended warehouse management, AI, Logistics dataAbstract
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.
