limitedDistribution · Industry Research
How can generative artificial intelligence empower circular supply chain practices? Evidence from Chinese companies
The article explores the role of generative AI in enhancing circular supply chain practices, particularly in Chinese companies. It discusses how AI can transform unstructured data into actionable insights, thereby improving supply chain efficiency and sustainability. The study highlights the potential of AI to optimize resource use and reduce waste, aligning with circular economy principles.
Stargo's Stardox platform can transform unstructured data into actionable insights, enhancing supply chain efficiency and sustainability.
Executive Summary
This study investigates the application of generative artificial intelligence in empowering circular supply chain practices, with a focus on Chinese companies. It examines how AI technologies can process unstructured data to generate actionable insights that enhance supply chain efficiency and sustainability. The research underscores the potential of AI to optimize resource utilization and minimize waste, thereby supporting the principles of a circular economy. By leveraging AI, companies can achieve greater transparency and efficiency in their supply chains, ultimately contributing to more sustainable business practices.
Source: www.sciencedirect.com
Original Article: https://www.sciencedirect.com/science/article/pii/S2444569X26000661
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