Automated Alert Management systems are poised to significantly enhance anti-counterfeiting efforts by providing real-time notifications and actionable insights across the supply chain. By leveraging advanced analytics and machine learning, these systems can quickly identify anomalies or suspicious activities, enabling swift responses to potential threats. This proactive approach not only improves the detection of counterfeit products but also strengthens overall product integrity and consumer trust. This session will handle they key issues that come up with automation:

• How to handle alert management within track and trace systems?
• How can Automated Alert Management systems enable the immediate identification of irregularities in product movement or documentation, allowing for swift intervention and reducing the risk of counterfeit products entering the supply chain?
• What are the key challenges associated with automated alert management in pharmaceutical track and trace, particularly in global supply chains?
• How to utilizing advanced analytics and machine learning for targeted anti-counterfeiting strategies?
• What is impact of automation for streamlining compliance with regulatory requirements by providing timely notifications and detailed reports on suspicious activities?
• What are the potential consequences of ineffective alert management?