International Conference on Supply Chain Management Analytics with Big Data

ICSCMBDA

3rd Nov – 4th Nov 2026 Munich, Germany

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Registration Summary

Conference ICSCMBDA

Date 3rd Nov – 4th Nov 2026

Location Munich, Germany

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Predictive Analytics in Supply Chain Management +

This track focuses on the application of predictive analytics to enhance decision-making in supply chain management. Participants will explore methodologies and tools that leverage big data to forecast demand and optimize inventory levels.

SDG 9 SDG 12

02 AI-Driven Innovations in Logistics +

This session will delve into the transformative role of artificial intelligence in logistics operations. Attendees will discuss case studies and frameworks that illustrate how AI can streamline processes and improve efficiency.

SDG 9 SDG 12

03 Data Integration Techniques for Supply Chain Optimization +

This track examines the critical importance of data integration in achieving a cohesive supply chain strategy. Presentations will highlight best practices and technologies that facilitate seamless data flow across various supply chain functions.

SDG 9 SDG 12

04 Machine Learning Applications in Supply Chain Analytics +

This session will investigate the use of machine learning algorithms to analyze supply chain data. Researchers will present innovative approaches that enhance predictive capabilities and operational performance.

SDG 9 SDG 12

05 Intelligent Systems for Inventory Management +

This track focuses on the development and implementation of intelligent systems designed to optimize inventory management. Discussions will center around the integration of big data analytics and automation in inventory processes.

SDG 9 SDG 12

06 Data Visualization in Supply Chain Analytics +

This session will explore the role of data visualization in interpreting complex supply chain data. Participants will learn about tools and techniques that enhance data storytelling and facilitate informed decision-making.

SDG 9 SDG 12

07 Process Analytics for Supply Chain Efficiency +

This track addresses the application of process analytics to identify inefficiencies within supply chain operations. Presenters will share insights on methodologies for analyzing and improving supply chain processes.

SDG 9 SDG 12

08 Scalable Logistics Solutions Using Big Data +

This session will focus on scalable logistics solutions that leverage big data for enhanced operational performance. Participants will discuss innovative strategies and technologies that support scalability in logistics.

SDG 9 SDG 12

09 Innovation Strategies in Supply Chain Management +

This track will explore innovative strategies that leverage big data analytics to drive supply chain excellence. Attendees will examine case studies that highlight successful implementations of innovative practices.

SDG 9 SDG 12

10 AI and Machine Learning in Supply Chain Optimization +

This session will investigate the intersection of AI and machine learning in optimizing supply chain operations. Experts will present research on how these technologies can enhance efficiency and reduce costs.

SDG 9 SDG 12

11 Logistics Analytics: Trends and Future Directions +

This track will provide insights into current trends and future directions in logistics analytics. Participants will discuss emerging technologies and methodologies that are shaping the future of logistics management.

SDG 9 SDG 12