Manufacturers today are operating in an environment defined by volatility: tariff-driven cost inflation, geopolitical disruption, shifting trade agreements, lack of digital continuity, limited scenario planning capabilities, labor constraints, and increasing customer expectations. Traditional planning and risk mitigation approaches are no longer sufficient to manage the complexity of modern, globally distributed supply chains. As a result, manufacturers are rethinking the location of suppliers and how they source, produce, and distribute while seeking new ways to gain visibility, agility, and resilience across their operations.
In this webinar, we explore how leading manufacturers are responding to these challenges by leveraging emerging technologies such as artificial intelligence (AI), digital twins, and advanced simulation. Through a real-world use case, we will demonstrate how one organization used these tools to model risk, test scenarios, and streamline operations enabling smarter, faster decision-making amid ongoing uncertainty. Attendees will gain practical insight into how digital representations of physical operations, combined with AI-driven analytics, are shaping the future of supply chain strategy and execution.
Key Takeaways
- An overview of the most pressing supply chain and operational risks facing companies today
- How firms are shifting supply chains (nearshoring, dual sourcing, network redesign) to mitigate disruption
- The role of AI, digital twins, and simulation in improving end-to-end visibility and strategic decision-making
- A practical use case showing how digital modeling can reduce operational chaos and improve performance
- What to expect next as organizations continue to evolve toward more adaptive, data-driven operations
REGISTER
