Flex Conference (Physical / Digital)

International Conference on Artificial Intelligence in Supply Chain Applications - (ICAISCA-27)

6th - 7th April 2027 , Aberdeen - Scotland

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Call For Papers

The (ICAISCA-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Supply Chain are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

  • AI applications in supply chain optimization
  • Machine learning for demand forecasting
  • Predictive analytics in supply chain management
  • AI-driven inventory management solutions
  • Robotics in supply chain operations
  • Natural language processing for supply chains
  • AI ethics in supply chain applications
  • Data-driven decision making in supply chains
  • Smart contracts in supply chain transactions
  • AI for enhancing supply chain visibility
  • Impact of AI on supply chain resilience
  • AI in supplier selection processes
  • Autonomous vehicles in supply chain logistics
  • AI-powered risk assessment in supply chains
  • Blockchain integration with AI technologies
  • AI for enhancing customer experience in supply chains
  • Real-time analytics for supply chain efficiency
  • AI in reverse logistics management
  • Collaborative robots in warehousing operations
  • Future of AI in supply chain innovation

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.