The Use of Artificial Intelligence in Supply Chain Management and Logistics

2. Literature Study

Dash et al. (2019) found four key areas of AI in supply chain mainly identifying target customers, demography, defining the price, and designing the right message Toorajipour et al. (2019) study aimed to determine the current and potential AI techniques that can enhance both the study and practice of SCM. 2. Modgil et al. (2022) found ive critical areas where AI can contribute to enhanced supply chain resilience; (1) transparency, (2) ensuring last-mile delivery, (3) offering personalized solutions to both upstream and downstream supply chain stakeholders, (4) minimizing the impact of disruption and (5) facilitating an agile procurement strategy. Stufy by Belhadi et al. (2021) is among the first to provide empirical evidence on maximizing the benefits of AI capabilities to generate sustained SCP. Güven et al. (2020) used product variety and sales forecasting had been performed by using artificial intelligence to minimize error rate, in the retail garment industry. Huber et al. (2020) found that AI models provide more accurate forecasts and also suitable for applications in a large-scale demand forecasting scenario in the retail industry. Abduljabbar et al. (2019) provides an overview of the AI techniques applied worldwide to address transportation problems mainly in traffic management, traffic safety, public transportation, and urban mobility. Nikitas et al. (2020) provided a novel conceptual contribution that thoroughly discusses the scarcely studied nexus of AI, transportation and the smart city and how this will affect urban futures. Sultana et al. (2020) described the application of reinforcement learning (RL) to multi-product inventory management in supply chains. Lukinskiy et al (2023) approach allows making reasonable management decisions based on the identification of the demand type to improve the efficiency and reliability of the supply chain. Albayrak et al. (2023) provide a comprehensive and up-to-date review of Artificial Intelligence (AI) applications used in inventory management through a systematic literature review. Hellingrath (2019) has shown that the AI showed the potential to contribute significantly to the digitalization of supply chains.