Flex Conference (Physical / Digital)

International Conference on Artificial Intelligence in Logistics and Business Applications - (ICAILBA-27)

9th - 10th February 2027 , Manila - Philippines

Registration Options →

Access Flexible Participation Categories

Call For Papers

The (ICAILBA-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, Logistics, Business 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 logistics optimization
  • Machine learning for supply chain efficiency
  • Data analytics in business logistics
  • Robotics in warehouse management systems
  • Predictive modeling for demand forecasting
  • AI-driven decision making in logistics
  • Impact of AI on customer service
  • Automation in logistics processes
  • AI ethics in business applications
  • Smart logistics using Internet of Things
  • AI for risk management in logistics
  • Enhancing supply chain visibility with AI
  • AI technologies for last-mile delivery
  • Integrating AI with traditional logistics
  • Future of AI in global trade
  • AI-powered inventory management solutions
  • Challenges of implementing AI in logistics
  • AI in transportation route optimization
  • AI for sustainable logistics practices
  • Case studies of AI in logistics

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.