Fixing Supply Chain Analytics Challenges with AI

Hi Everyone, Supply chains today are facing unprecedented challenges, from unpredictable demand swings to inventory mismatches and disruptions that ripple across the globe. Traditional analytics tools often struggle to keep up, leaving decision-makers reacting to problems instead of preventing them. In this live session, we’ll explore how **artificial intelligence** can transform supply chain analytics into a proactive, data-driven engine for efficiency and resilience. You’ll see how AI models can uncover hidden patterns, predict risks, and suggest smart actions in ways that go far beyond static dashboards. ### **What you’ll experience** * **Live demonstration:** How AI interprets supply chain data and turns it into predictions and recommendations. * **Demand forecasting:** Use AI to anticipate shifts in sales and market demand. * **Bottleneck detection:** Spot risks and delays early to minimize impact. * **Inventory optimization:** Balance stock levels to reduce waste and avoid shortages. * **Actionable framework:** Practical steps for moving from reactive reporting to predictive and prescriptive decision-making. ### **Who should join?** This session is ideal for: * Supply chain managers and operations leaders * Business analysts and data enthusiasts * Professionals in logistics, procurement, and enterprise systems * Anyone curious about how AI is reshaping the way we solve real-world business problems ### **Why attend?** By the end of the session, you’ll have a clearer understanding of how AI can directly address the analytics challenges in supply chain management, and walk away, with insights you can apply in your own work. **Reserve your spot today** and join us on 23rd October for an interactive hour of learning, insights, and practical takeaways.