Hybrid Conferencee

International Conference on Supply Chain Management Analytics with Big Data (ICSCMBDA - 26)

10th - 11th October 2026 | Munich, Germany

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Munich. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Munich event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Munich conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Munich, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Munich."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.