Background: Artificial intelligence (AI) and robotics are increasingly pivotal for reducing carbon emissions in supply chain management (SCM), yet research exploring their com-bined potential from a sustainability perspective remains fragmented. This study aims to systematically map the research landscape and synthesize evidence on their applications, benefits, and challenges. Methods: A systematic scoping review was conducted on 23 peer-reviewed studies from the Scopus database, published between 2013 and 2024. Data were systematically extracted and analyzed for publication trends, application domains (e.g., transportation, warehousing), specific AI and robotic technologies, emissions reduc-tion strategies, and implementation challenges. Results: The analysis reveals that AI-driven logistics optimization is the most frequently reported strategy for reducing transportation emissions, while robotic automation is commonly associated with im-proved energy efficiency in warehousing. Despite these benefits, the reviewed literature consistently identifies significant barriers, including the high energy demands of AI computation and complexities in data integration. Conclusions: This review confirms the transformative potential of AI and robotics for developing low-carbon supply chains. An evidence-based framework is proposed to guide practical implementation and identify critical gaps, such as the need for standardized validation benchmarks, to direct future research and accelerate the transition to sustainable SCM.

Keywords:

artificial intelligence, circular economy, supply chain management, sustainability, optimization, systematic literature review

@article{oscm-2026-742,
  title={Trends and Insights in Integrating Artificial Intelligence with Sustainable Supply Chain Management},
  year={2026},
  author={Mariem Mrad and Mohamed Amine Frikha},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={19},
  number={4},
  pages={711--727},
  doi={10.31387/oscm0670547}
}

Mariem Mrad, Mohamed Amine Frikha (2026). Trends and Insights in Integrating Artificial Intelligence with Sustainable Supply Chain Management. Operations and Supply Chain Management: An International Journal, 19(4), 711-727. https://doi.org/10.31387/oscm0670547