Three AI-powered Technologies to Battle Supply Chain Disruptions

SPEAKERS

Devavrat Shah faculty director of the Deshpande Center, Ikigai Labs

ABOUT THE SESSION

Devavrat Shah, Faculty Director of the Deshpande Center and affiliated with Ikigai Labs, brings a rich background in statistical inference and algorithm design to the forefront of supply chain innovation. He is all set to share his views on three AI-powered technologies that can effectively combat supply chain disruptions. Drawing from his expertise in building high-performance, resource-efficient algorithms, he will explore how these AI solutions enable smarter forecasting, adaptive planning, and real-time responsiveness. His session will offer valuable insights into how businesses can harness the power of data-driven tools to navigate complexity and build more resilient, agile supply chains.

He is all set to share his views on how multivariant time series forecasting can effectively predict demand even in scenarios with limited historical data, offering a powerful solution for dynamic and uncertain markets. He will also explore the use of reinforcement learning to continuously optimize supply chain operations based on evolving business goals, ensuring smarter and more adaptive decision-making. Additionally, he will introduce DeepMatch—a groundbreaking technology that enables seamless integration of data from diverse sources, creating a unified, intelligent system that enhances visibility, accuracy, and responsiveness across the supply chain.

Key Topics-

1. How multivariant time series forecasting helps predict demand when large sets of historical data are not available
 

2. How to use reinforcement learning to optimize your supply chain operations for your desired business outcomes
 

3. What is DeepMatch and how it helps stitch together data from any sources

For more on this conference or to access the session, reach out to us at info@ptnevents.com. 

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