Improving Disaster Response with AI And Data Analytics

Did you know that AI can predict drug shortages 90 days in advance, reducing waiting time and preventing critical medication gaps! With advancements in AI-driven optimisation and control tower, visibility and transparency into end-to-end supply chain operations enable pharma companies to make swift decisions ahead of time, ensuring safe, effective, and timely delivery of critical medicines.

The lifecycle of a drug is prone to uncertainties at every stage – from a sudden switch in transportation route to the onset of a natural disaster that has struck a rural village. Therefore, integrating technologies can help to minimise lead times and proactively perform mitigation activities even before a crisis erupts. By having a single-source-of-truth across all the nodes in the supply chain, from drug development to manufacturing to distribution and delivery, this can be a critical enabler in building sophisticated and resilient supply chains in the future.

In this exclusive Q&A interview, Arune Ganesh Meenakshisundaram, Gaurav Bhatia, General Manager of Supply Chain from Reliance Retail Pharma, Bharath Sundararaman, Vice President & General Manager of Supply Network Optimisation from Tracelink, and Gordon Willcock, Director from Asia Pacific Direct Relief, share their insights on:

• By connecting various stakeholders within the unified network and aggregating data, valuable insights can be extracted!
• Supercharge digitalisation with MINT (Multi-enterprise Information Network Tower) to enhance tracing and tracking of raw materials or shipments of drug products
• The importance of collaboration – breaking down data silos and fostering close ties among supply chain partners is essential for adopting a unified approach in demand forecasting and inventory management
• The role of technology in cold chain innovation – enables us to foresee possible excursions in temperature and mitigate such risks by working around them and ensuring adherence to those conditions that are required for packaging
• Leveraging AI and data analytics, organizations can map population displacement patterns during crises, administering efficient allocation of resources and aid.
• Leverage social media platforms like Facebook to pull out anonymised data to provide direct relief support at evacuation shelters!