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Sustainable Supply Chain
AI, Supply Chains, and the Sustainability Challenge: A Data-Driven Approach
Feb 17, 2025
Join Sunder Balakrishnan, Head of Supply Chain Analytics at LatentView, as he dives into the intersection of AI, supply chains, and sustainability. He reveals why pursuing perfect data is a myth and how companies can leverage AI to optimize costs while enhancing environmental responsibility. The discussion includes innovative uses of digital twins to minimize waste and carbon footprints. Balakrishnan also emphasizes that sustainability should be ingrained in supply chain design from the start, highlighting the importance of data-driven insights and employee education in this transformative journey.
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Quick takeaways
- Sustainability should be integrated into supply chain design from the beginning, leveraging AI and data for informed, environmentally conscious decisions.
- Despite the myth of perfect data, organizations should focus on leveraging available data for pragmatic improvements in supply chain sustainability and efficiency.
Deep dives
Navigating Data Limitations in Organizations
Perfect data is a myth in organizations, as there's always a struggle with achieving absolute accuracy. Despite this, focusing on consolidating available data can lead to solving higher-order problems efficiently. Organizations may reach a point where 70 to 80 percent of their data appears satisfactory, but the remaining 20 percent will likely continue to be challenging, suggesting that the effort to refine it may not yield significant returns. This perspective encourages a pragmatic approach to data management, emphasizing incremental improvements rather than perfection.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode