In today’s increasingly complex and fast-paced business environment, supply chain decision-making must adapt to meet the demands of agility, resilience, and efficiency. At Boehringer Ingelheim, we are working to enhance our Human Pharma Supply Chain Operations by implementing a Digital Supply Chain Twin—a virtual representation of our supply chain ecosystem designed to support simulation, optimization, and data-driven decision-making.

This presentation will provide attendees with an overview of our progress, including the challenges we have encountered, the opportunities we have identified, and our strategic approach to scaling the digital twin. By sharing our pilot experience and roadmap, we hope to contribute to the broader conversation around the potential of digital twins in supply chain decision-making. In the presentation, we will:

• Demonstrate how integrating data from multiple sources across the supply chain enables the digital supply chain twin to create a unified view of operations, supporting actionable insights and allowing for the testing of decision-making strategies in a virtual environment.
• Discuss the business potential and key benefits of the digital twin, such as improved visibility, enhanced scenario planning, and greater agility in responding to market dynamics.
• Outline the steps taken to design the pilot, emphasizing the integration of established operations research techniques with emerging AI technologies to support smarter and more autonomous decision-making.
• Share implementation insights and lessons learned from real-world deployments, focusing on critical areas such as stakeholder engagement, addressing data integration challenges, and aligning the digital twin’s capabilities with business needs.