(ICBDASCM - 26) | Hybrid Event
18th - 19th August 2026 | Monte Carlo, Monaco

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International Conference on Big Data Analytics for Supply Chain Management
(ICBDASCM - 26)

18th - 19th August 2026 Monte Carlo, Monaco (Hybrid Event)

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Call for Paper

The ICBDASCM is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Data Science, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Big data analytics for supply chain efficiency
  • Predictive analytics in inventory management
  • Data-driven logistics optimization strategies
  • Supply chain risk management using data
  • Real-time tracking and data integration
  • Data visualization for supply chain insights
  • Machine learning in demand forecasting
  • Blockchain applications in supply chain
  • Sustainable supply chain practices with data
  • Data ethics in supply chain management
  • Collaborative supply chain networks and data
  • Data-driven supplier performance evaluation
  • IoT applications in supply chain logistics
  • Big data challenges in supply chain
  • Data-driven customer demand analysis
  • Supply chain transparency through data
  • Data integration across supply chain partners
  • Future trends in supply chain analytics
  • Data-driven decision making in procurement
  • Impact of AI on supply chain efficiency
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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