Future-Artificial Intelligence in Logistics and Supply Chains

Future-Artificial Intelligence in Logistics and Supply Chains (Future-AILSC) is an international academic journal dedicated to cutting-edge research in the fields of Artificial Intelligence (AI) and Machine Learning, with a focus on their applications in logistics and supply chain management. The journal aims to advance the theory and practice of AI-driven solutions, emphasizing adaptive learning, real-time decision-making, and intelligent optimization in dynamic supply chain environments.  

Future-AILSC places special emphasis on research topics such as predictive analytics, autonomous logistics systems, AI-driven demand forecasting, robotic process automation (RPA), reinforcement learning for supply chain optimization, and blockchain-integrated AI solutions. The journal also explores applications in areas like smart warehousing, last-mile delivery automation, sustainable logistics, and IoT-enabled supply chain visibility.  

As a multidisciplinary platform, Future-AILSC attracts scholars from fields such as computer science, operations research, industrial engineering, and business analytics, fostering the integration of innovation and practical applications. The journal strives to become a vital platform for academia and industry to explore AI-driven advancements in logistics and supply chains, shaping the future of intelligent, resilient, and efficient global supply networks.  

Future-AILSC follows a rigorous peer-review process to ensure the highest quality of published research. All submissions are evaluated by at least three members of the Future Editorial Team (FET). If a submission receives positive reviews from at least two reviewers, it is eligible for publication. The journal maintains a commitment to open-access principles, with no article processing charges (APCs) for accepted manuscripts.