International Conference on Data Analytics in Supply Chain Optimization (ICDASCO - 26)

This track focuses on the latest methodologies and technologies in supply chain analytics. Researchers are encouraged to present innovative approaches that enhance decision-making processes and operational efficiency.

This session will explore the application of predictive modeling techniques to forecast demand and optimize inventory levels. Contributions should highlight case studies and empirical research demonstrating the effectiveness of these models.

This track aims to address the challenges and solutions in logistics analytics, emphasizing transportation optimization strategies. Papers should discuss the integration of analytics in improving logistics performance and reducing costs.

This session will delve into the role of big data in transforming supply chain operations. Participants are invited to share insights on data-driven strategies that enhance supplier performance and risk management.

This track will showcase the application of machine learning algorithms in optimizing various aspects of the supply chain. Researchers are encouraged to present novel applications that demonstrate significant improvements in efficiency and effectiveness.

This session will focus on the development and implementation of decision support systems tailored for supply chain management. Papers should explore how these systems facilitate better decision-making through data visualization and analytics.

This track examines innovative inventory management strategies that utilize analytics for improved accuracy and efficiency. Contributions should highlight the impact of data-driven approaches on inventory turnover and service levels.

This session will explore the significance of real-time analytics in enhancing supply chain responsiveness and agility. Researchers are invited to discuss technologies and frameworks that enable real-time data processing and decision-making.

This track focuses on the intersection of IoT analytics and supply chain integration. Papers should address how IoT data can be leveraged to optimize supply chain processes and improve overall operational performance.

This session will explore the role of cloud computing in facilitating advanced supply chain analytics. Contributions should discuss the benefits and challenges of cloud integration for data management and analytics capabilities.

This track aims to highlight the importance of business intelligence tools in supply chain optimization. Researchers are encouraged to present studies that demonstrate how business intelligence can drive strategic decisions and enhance supply chain performance.