ICDASCBD · Registering as Listener

International Conference on Data Analytics for Supply Chain and Business Decisions

23rd Dec – 24th Dec 2026 Medan, Indonesia Standard / Physical Participation
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ConferenceICDASCBD
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Conference Session Tracks
SDG Wheel

SDG-Aligned Research Themes

International Conference on Data Analytics for Supply Chain and Business Decisions conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure SDG 11 - Sustainable Cities and Communities SDG 12 - Responsible Consumption and Production

This track focuses on the application of predictive analytics techniques to enhance supply chain decision-making. Participants will explore methodologies for forecasting demand, optimizing inventory levels, and mitigating risks.

This session aims to uncover how data analytics can provide actionable operational insights within supply chains. Discussions will include case studies demonstrating the impact of data-driven decisions on operational efficiency.

This track examines strategies for process optimization in logistics through advanced data analytics. Participants will analyze tools and techniques that streamline operations and reduce costs.

This session focuses on the development and implementation of decision support systems that leverage data analytics for informed business decisions. Attendees will learn about the integration of these systems into existing business frameworks.

This track investigates the role of performance metrics in evaluating supply chain effectiveness. Participants will discuss key performance indicators and their relevance to data-driven decision-making.

This session addresses the importance of real-time monitoring in supply chain operations and its implications for business decisions. Attendees will explore technologies that enable real-time data collection and analysis.

This track delves into inventory analytics as a means to optimize stock levels and improve supply chain efficiency. Participants will examine techniques for analyzing inventory data to inform strategic decisions.

This session focuses on leveraging data analytics to gain deeper customer insights that drive business strategies. Discussions will include methods for analyzing customer behavior and preferences.

This track explores strategies for resource optimization within supply chains using data analytics. Participants will learn about tools and frameworks that facilitate efficient resource allocation.

This session highlights the role of business intelligence in enhancing supply chain management practices. Attendees will explore how data visualization and reporting tools support strategic decision-making.

This track examines the impact of digital transformation on supply chain and business operations. Participants will discuss the integration of emerging technologies and their implications for data analytics.

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