International Research Journal of Education and Technology

The resilience of fulfillment systems—defined as the ability of organizations to reliably deliver products, services, or digital experiences under conditions of uncertainty—has become a critical determinant of enterprise success. Whether managing global supply chains, ensuring timely software releases, or supporting e-commerce transactions at scale, the complexity of modern business environments requires new strategies. This paper explores how cross-functional product management, integrated with artificial intelligence (AI) and automation, can address these challenges. Drawing from the author’s direct leadership experiences at Walmart, Meta, and TikTok, the study presents case analyses of supply chain resilience, software pipeline reliability, and AI-driven customer experience. Each case demonstrates technical innovation and the significance of cross-disciplinary collaboration and data-driven decision-making. Collectively, the findings propose a unified framework for resilient fulfillment in the age of AI and position the author’s contributions as original and impactful within the product and operations management field.