Sustainable Supply Chain Finances implementation model and Artificial Intelligence for innovative omnichannel logistics

Abstract

Summary Whilst there is significant research on supply chain finance, there is little information about its application to the omnichannel logistics. Hence, the primary adopted goal is to identify the ways of supporting the implementation and development of SSCM with use of Artificial Intelligence and developed SSCF implementation model. Potential paths to improve supply chain’s sustainability based on SSCF and AI are presented on the example of two internationally operating companies from the clothing industry using omnichannel. An exploratory case study has been conducted. Three methods were used to gather data: document/reports analysis, direct and participative observation and unstructured interviews. By implementing AI, supply chain leaders can more easily improve all key dimensions of sustainability, especially in the strategic field, based on strengthening partnership and cooperation with suppliers offering value-added materials that guarantee a competitive advantage. The paper contributes to the limited existing literature on SSCF and AI and disseminates this information to provide impetus, guidance and support toward increasing the productivity, efficiency, consistency and quality of service.

Applying artificial intelligence in the logistics sector of Lithuania: prospects and opportunities

“…The list of central aspects of applying artificial intelligence in logistics is still being determined. For instance, Klumpp & Ruiner (2022) highlight the importance of the human factor, especially in digital logistics; Pawlicka & Bal (2022) investigate possibilities of implementing AI and sustainable supply chain finances for innovative omnichannel logistics, and Emam et al (2021) suggest algorithms to solve complex and multimodal problems that face transportation logistics sector.…”

AI in supply chain optimization: A comparative review of USA and African Trends

“…The impact of AI on supply chain management performance has been widely acknowledged, with studies highlighting its role in enhancing supply chain resilience, firm performance, and digital transformation Modgil et al, 2021;Sullivan & Wamba, 2022). Furthermore, AI-driven innovations have been identified as crucial for improving supply chain finance and sustainability, particularly in industries such as food and drink (Olan et al, 2021;Pawlicka & Bal, 2022).…”

“…The application of AI in supply chain management extends beyond performance enhancement, with studies emphasizing its role in quality enhancement, fraud prediction, and resilience analytics within supply chains (Tang & Lau, 2009;Lokanan & Maddhesia, 2022;Goodarzian et al, 2021). Moreover, AI has been recognized as an enabler for sustainable supply chains, offering solutions for risk mitigation and sustainable financing streams (Naz et al, 2021;Pawlicka & Bal, 2022). The potential of AI and Machine Learning (ML) in digitally transforming supply chains has also been a subject of scholarly interest, with a focus on identifying unexplored contexts and applications for managing and transforming supply chains digitally (Rana & Daultani, 2022).…”