The pharmaceutical supply chain encompasses a complex series of steps from material sourcing to consumer delivery. To effectively address this complexity, including stringent regulations, ensuring product integrity, and meeting diverse stakeholder needs, a robust and adaptable system is imperative. Artificial intelligence (AI) emerges as a transformative force in this landscape, revolutionizing various aspects of supply chain management. From enhancing end-to-end visibility and maintaining product integrity to streamlining processes and accurately forecasting demand, AI offers unprecedented opportunities for optimization and innovation. Despite recognizing the potential of digital advancements, many life sciences companies have yet to fully optimize their supply chains, leaving gaps in efficiency and responsiveness. This poster presents findings from HITLAB’s landscape research, done in partnership with FFF Enterprises, focusing on current state, challenges, and opportunities in the pharmaceutical supply chain with an emphasis on AI integration. Through a framework dissecting the supply chain into seven stages, key trends such as supplier diversification, process automation, intelligent packaging, and logistics automation were identified. The research indicates a shift towards a digitally connected network, enabling end-to-end visibility, predictive risk management, and increased resilience. Emerging trends like personalized medicine and at-home care initiatives further shape supply chain demands, emphasizing the need for agile strategies and AI-driven solutions to meet evolving consumer expectations and regulatory requirements.