AI driven automation for enhancing sustainability efforts in CDP report analysis

AI driven automation for enhancing sustainability efforts in CDP report analysis

Abstract The need for sustainable practices in supply chains is becoming increasingly critical, as businesses face pressure to reduce their carbon footprint while maintaining operational efficiency. This paper proposes a novel hybrid approach that combines Genetic Algorithms (GA) with Long Short-Ter...

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Bibliographic Details
Main Authors: Ramya Rangarajan, Tamilarasi Kathirvel Murugan, Logeswari Govindaraj, Venyaa Venkataraman, Krithik Shankar
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Sustainability
Carbon disclosure project
Genetic algorithm
Long short-term memory
Emissions optimization
Resource efficiency
Online Access:https://doi.org/10.1038/s41598-025-07584-4
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https://doi.org/10.1038/s41598-025-07584-4

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