CMOS-2024
About Us

AISCLM-2026

Artificial Intelligence (AI) is transforming supply chain and logistics management by enabling intelligent, data-driven, predictive, and autonomous decision-making across increasingly complex global supply networks. By integrating machine learning, deep learning, predictive analytics, natural language processing, computer vision, generative AI, optimization algorithms, and intelligent computing, AI enables organizations to process vast and heterogeneous datasets, identify demand and supply patterns, optimize resources, anticipate disruptions, and improve operational efficiency. The growing availability of real-time data from enterprise systems, Internet of Things (IoT) devices, connected vehicles, sensors, warehouses, and digital platforms, together with advances in cloud, edge, and high-performance computing, is accelerating the adoption of AI across modern supply chains and logistics ecosystems.

Beyond conventional automation and forecasting, AI is enabling a new generation of intelligent supply chain systems capable of real-time planning, dynamic routing, autonomous operations, intelligent inventory management, and adaptive decision-making. AI-powered demand forecasting can support more accurate estimation of market requirements, while intelligent procurement, inventory optimization, warehouse automation, transportation management, and last-mile delivery can enhance responsiveness and resource utilization. Computer vision and robotics are enabling intelligent inspection, sorting, picking, and warehouse operations, while AI-driven route optimization and predictive maintenance can improve transportation efficiency and asset utilization. The convergence of AI with IoT, cloud and edge computing, digital twins, blockchain, robotics, autonomous vehicles, and advanced analytics is further creating interconnected and intelligent supply chain environments capable of responding dynamically to uncertainty, disruptions, and rapidly changing market conditions.

The International Conference on AI in Supply Chain and Logistics Management serves as a global platform for researchers, academicians, industry professionals, supply chain practitioners, policymakers, and technology innovators to exchange knowledge and explore emerging developments at the intersection of artificial intelligence, supply chain management, and logistics. The conference focuses on theoretical advancements, computational methodologies, technological innovations, and practical applications of AI across supply chain and logistics systems. Key areas include AI-driven demand forecasting, intelligent procurement, supply chain optimization, inventory analytics, warehouse intelligence, transportation and fleet management, route optimization, last-mile logistics, predictive maintenance, autonomous logistics, supply chain risk management, disruption prediction, digital twins, sustainable logistics, and intelligent decision-support systems.

The conference also emphasizes the responsible and human-centered adoption of AI in supply chain and logistics management, including explainable AI, data privacy, cybersecurity, algorithmic transparency, ethical AI, trustworthy decision-making, and human–AI collaboration. By bringing together global experts and thought leaders from academia, industry, and government, the conference aims to foster interdisciplinary research, strengthen academia–industry collaboration, and accelerate the development of intelligent, resilient, sustainable, and adaptive supply chain ecosystems. Through keynote addresses, technical sessions, research presentations, workshops, panel discussions, and industry interactions, the conference seeks to advance the application of AI Computing in supply chains and logistics while contributing to operational excellence, business competitiveness, sustainability, and the development of next-generation intelligent logistics networks.

AISCLM-2026

Important Date

Opening of Paper Submission site : 01st October 2026
Last Date of Paper Submission: 31st October 2026
Notification of Acceptance/Rejection: 10th November 2026
Camera Ready Submission: 20th November 2026
Last Date of Registration: 30th November 2026
Conference date: 18th-19th, December, 2026


Paper Publication

Proceeding: All papers, both invited and contributed, will be subjected to double blind review by at least 2 experts from the committees. After a careful reviewing process before the final decision and after a detailed presentation at the conference, all the accepted papers will be published in a proceeding, by a reputed publisher.

AISCLM-2026

Committee Chair Person

AISCLM-2026

Organizers

IIMT, Bhubaneswar (India)
IRNet India
International Centre for AI Governance & Human Rights