International Conference on Data Analytics in Logistics and Supply Chain - (ICDALSC-26)


26th - 27th September, 2026 | Zaragoza, Spain

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

27th August, 2026

Paper Submission Deadline

6th September, 2026

Last Date Of Registration

11th September, 2026

Date Of Conference

26th - 27th September, 2026

Downloads

Call for Papers

The (ICDALSC-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Circular Economy,Supply Chain,Logistics, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Data analytics for supply chain optimization
  • Big data applications in logistics management
  • Predictive analytics for demand forecasting
  • Real-time data integration in supply chains
  • Challenges in data-driven supply chain strategies
  • Case studies of successful data analytics applications
  • Impact of data analytics on supply chain efficiency
  • Collaboration between data scientists and logistics
  • Ethical considerations in data usage
  • Future trends in logistics data analytics
  • Data visualization techniques for supply chain insights
  • Role of IoT in data collection for logistics
  • Data governance and security in supply chains
  • Training for data analytics professionals
  • Integration of data analytics with existing systems
  • AI and machine learning in logistics analytics
  • Metrics for evaluating data analytics effectiveness
  • Impact of data analytics on customer satisfaction
  • Emerging technologies in logistics data analytics
  • Supply chain transparency through data analytics

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Empowering Research Continuity

At Research Leagues, academic engagement continues without interruption despite the current global situation. Researchers can present and publish through online and integrated participation pathways.