Technology Solutions for Global Supply Chain Sustainability: Challenges and Opportunities

  Рет қаралды 845

MIT Center for Transportation & Logistics

MIT Center for Transportation & Logistics

Күн бұрын

Sustainability continues to be a hot topic in supply chains, but there are major challenges in terms of accurate data collection. Laura Allegue and Kellen Betts, the course leads for SC2x and SC4x, will host Harris Chalat, Co-Founder and CEO of Muir AI, to discuss the role of technology in promoting sustainable practices on a global scale.
Highlights
🧠 Artificial Intelligence can assist in quickly processing and assessing large volumes of data, which is critical for evaluating the sustainability of supply chains.
🗺️ Muir AI’s data system incorporates external sources, company-provided information, and proprietary databases to assess carbon emissions and identify reduction opportunities.
🤝 Engaging with suppliers is essential for obtaining accurate data, but AI can help identify which suppliers warrant engagement and how to best approach those conversations.
💰 AI can help companies identify “win-win” opportunities that reduce both emissions and costs, making sustainability initiatives more appealing.
🌍 Regulations, such as the Carbon Border and Adjustment Mechanism in the EU, are providing additional incentives for companies to prioritize sustainability.
Summary: Join us to learn about the challenges companies face with emissions data in their supply chains and how AI, data fusion, and machine learning can help companies understand the impacts of and design better supply chains.
Harris Chalat graduated from MIT with an Aeronautics and Astronautical Engineering degree and launched Muir AI in 2022 with Peter Williams. The two met while playing football and studying aerospace engineering at MIT. After developing cutting-edge remote sensing and machine learning technology at SpaceX and Amazon, they have turned their attention to climate change and the lack of actionable supply chain emissions data, which provides an immediate opportunity to reduce emissions on a gigaton scale.

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