Session: Revolutionizing Supply Chain Management with AI/ML: Predicting the Unpredictable
In today’s fast-paced and increasingly volatile business environment, supply chain resilience is a top priority for organizations. While systems like Coupa and Rapid Ratings provide valuable insights into supplier performance, they often rely heavily on historical and static data—leaving organizations vulnerable to unforeseen disruptions and hidden risks.
What if we could go beyond evaluation to prediction—and even simulation? In this talk, I’ll explore how AI and machine learning can enhance supplier risk management by combining predictive modeling with contextual insights drawn from unstructured data. I’ll also introduce how emerging technologies like Large Language Models (LLMs) and Generative AI are opening new doors: enabling organizations to simulate disruption scenarios, extract hidden risk factors from audit reports or ESG documents, and generate real-time, proactive strategies.
Discover how embedding AI and GenAI into existing tools can deliver next-generation capabilities—predictive insights, real-time alerts, and even prescriptive recommendations. Whether you're focused on scaling operations, reducing costs, or building a more agile supply chain, this session will showcase how advanced analytics and language-based AI can transform your supplier relationships and safeguard your business.
Join me as we envision the future of supply chain management—driven by innovation and powered by AI.
Bio
With over 20 years of experience at the intersection of technology, leadership, and AI-driven innovation, Shadan Ashfaie is a seasoned AI/ML Program Manager specializing in the delivery of enterprise-scale intelligent systems. She has successfully led transformative initiatives across healthcare, life sciences, retail, and finance—bridging technical strategy and execution with measurable business outcomes.
Shadan is passionate about applying predictive and generative AI to solve complex, real-world problems. Most recently, she’s focused on architecting machine learning solutions that integrate seamlessly with business operations—from supplier risk forecasting to recommendation systems and AI-powered decision support.
As an alumna of UC Berkeley Executive Education's AI: Business Strategies and Applications program, Shadan brings a uniquely strategic lens to AI adoption. Her work translates emerging AI methodologies into enterprise-ready solutions with real ROI.
A recognized voice in Agile AI delivery, Shadan has led diverse teams using Agile, SAFe, and hybrid frameworks to accelerate experimentation and de-risk model deployment. Her leadership style combines deep technical fluency with product vision, cross-functional collaboration, and a relentless focus on innovation.
Her session, “Revolutionizing Supply Chain Management with AI/ML: Predicting the Unpredictable,” reflects her mission to help organizations shift from reactive to predictive supply chain strategies—empowering smarter, faster, and more resilient decision-making.