To analyze the current drug supply chain process in pharmaceutical companies.
To identify opportunities for optimization and cost reduction through data analytics.
To develop data analytics models to forecast demand, optimize inventory levels, and improve supply chain efficiency.
To evaluate the financial impact of implementing data-driven supply chain optimization strategies.
Conduct a literature review on the use of data analytics in supply chain management, focusing on the pharmaceutical industry.
Gather data on drug supply chain processes from a pharmaceutical company or through secondary sources.
Apply data analytics techniques such as forecasting, inventory optimization, and process improvement to the collected data.
Analyze the results and identify recommendations for optimizing the drug supply chain.
Develop a report outlining the methodology, findings, and recommendations for improving supply chain efficiency and financial performance.
