Intelligent Transformation: AI’s Role in Optimizing Industries and Supply Chains for Sustainability

Galina Jaseckova (), Hien Huynh Thi Ngoc and Subhra R. Mondal ()
Additional contact information
Galina Jaseckova: Comenius University in Bratislava
Hien Huynh Thi Ngoc: Duy Tan University
Subhra R. Mondal: Duy Tan University

A chapter in Generative AI for a Net-Zero Economy, 2025, pp 161-175 from Springer

Abstract: Abstract Across the landscape of climate catastrophes and resource depletion, industries are under pressure to move from unsustainable to sustainable legacy systems. The potential of AI for optimizing industrial operations and supply chains to sustain economic development while maintaining the environment must be fully realized through strategic implementation and regulatory support. A well-planned integration of AI technologies (e.g., predictive maintenance, route optimization, and generative design) can offer organizations better efficiency, less waste, and adherence to sustainability standards worldwide. We present a structured five-pillar framework that focuses on technological preparedness, organizational capacity, collaboration with stakeholders, ethical safeguards, and adaptive monitoring to support the implementation of AI. Case studies show real results, with energy costs reduced by 30% and emissions by 25% by leveraging AI across industries. The authors argue for systems thinking addressing sustainability as a complex challenge and that inter- and trans-disciplinary synergies between operations research, environmental science, and organization theory would further the field, only if working together. Ethical factors, such as algorithmic transparency and equitable workforce transitions, are key to addressing risks, including job displacement and greenwashing. Ultimately, AI is not the panacea many of us hope for but rather a strategic enabler for a new post-carbon age that requires, beyond effective policies, inclusive governance and continual innovation to balance profit with planetary health. The framework places AI as an augmenter of resilient circular economies, calling on industries to adopt intelligent transformation as a vital pillar of sustainable evolution.

Keywords: Artificial intelligence; Sustainable transformation; Supply chain optimization; Ethical governance; Interdisciplinary framework; Industry 4.0 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-96-8015-3_10

Ordering information: This item can be ordered from
http://www.springer.com/9789819680153

DOI: 10.1007/978-981-96-8015-3_10

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().