Chandan Trehan

In an era of rapid market changes and consumer unpredictability, accurate demand forecasting is critical for business success. This panel brings together industry experts from across the healthcare supply chain to discuss the latest strategies and technologies for mastering demand uncertainty. Attendees will gain insights into effective demand planning methodologies, leveraging data analytics, and building a resilient supply chain. By sharing their expertise and best practices, panelists will provide valuable insights and actionable strategies for optimizing demand planning processes and driving business growth.

• Exploring advanced data analytics and machine learning techniques to improve demand forecasting accuracy
• Emphasizing the importance of cross-functional collaboration and data sharing for effective demand planning
• Identifying potential demand risks and developing mitigation plans to protect the supply chain.
• Exploring the latest demand planning software and tools to enhance forecasting capabilities.

This case study explores how Bosch is leveraging Generative AI (Gen-AI) to transform its medical device supply chain, driving innovation, efficiency, and sustainability. By predicting potential disruptions and optimizing resource allocation, Gen-AI also empowers businesses to proactively strengthen business continuity plans.

• Accurately forecast demand, optimize inventory, and prevent stockouts with advanced AI models
• Streamline operations, reduce costs, and enhance delivery times through intelligent network optimization.
• Speed up product development, improve quality, and meet patient needs faster with AI-driven design and simulation