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International Conference on Data Analytics in Logistics and Supply Chain

📅 15–16 Dec 2026 📍 Tokyo, Japan 👤 Standard / Listener

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$185

virtual · $185 in person

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Supporting global researchConnect with researchers across 30+ countries

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track explores the integration of circular economy principles within logistics and supply chain management. It emphasizes innovative practices that enhance resource efficiency and sustainability.

This session focuses on the development and implementation of data-driven decision support systems in logistics. Participants will discuss methodologies that leverage big data for improved operational metrics.

This track examines the role of predictive analytics in enhancing supply chain visibility and performance. It will highlight case studies demonstrating successful applications of predictive models.

This session delves into advanced optimization techniques that streamline logistics operations. Topics include algorithmic approaches and their impact on efficiency and cost reduction.

This track addresses the importance of real-time monitoring technologies in supply chain management. Discussions will focus on tools and strategies that enhance responsiveness and agility.

This session investigates the transformative impact of artificial intelligence on logistics and supply chain processes. Participants will explore AI-driven solutions for operational challenges.

This track focuses on leveraging data analytics to improve resource efficiency in logistics. It will cover techniques for measuring and optimizing resource utilization.

This session highlights strategies for continuous process improvement within supply chains. Emphasis will be placed on methodologies that utilize data analytics for performance enhancement.

This track discusses the critical role of visibility and transparency in modern supply chains. Participants will share insights on technologies and practices that foster greater supply chain clarity.

This session explores the application of big data analytics in optimizing logistics operations. Case studies will illustrate the benefits of data-driven insights in decision-making.

This track focuses on identifying and utilizing key operational metrics to drive supply chain success. Discussions will include best practices for metric selection and performance evaluation.