A Review on the Contributions, the Applications, and the Challenges of Using AI in Green Supply Chain Management

To meet the objectives of the carbon neutrality 2050 agenda, companies, along with other stakeholders, are invited to promote initiatives aim ensuring the wide adoption of sustainable practices. Similarly, green supply chain management (GSCM) has the potential to enhance environmental performance and embed an environmental mindset into different supply chain processes. As a new innovative technological innovation adopted in GSCM, artificial intelligence (AI) has the potential to promote GSCM practices and support its successful implementation in numerous areas of the supply chain. Thus, this study reveals different possible contributions, challenges, and applications that AI can exert on the pervading diffusion and wide adoption of GSCM activities. To achieve this goal, we employed a systematic literature review method coupled with a PRISMA-guided framework to screen, exclude, and include relevant studies on our subject. These findings suggest the pivotal role in enhancing the activities of different GSC. These areas include demand planning, green procurement, green operations, environmentally sustainable development, environmental risks, and customer relationship management. We propose a theoretical framework depicting different AI applications in GSCM and present several hurdles that hinder the wide adoption of AI in businesses. These results may serve as valuable insights for academics and practitioners in logistics and supply chain management, providing potentially interesting contributions that different AI capabilities could make in the enhancement of green supply chain performance indicators.