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International Conference on Data Analytics in Procurement Engineering - (ICDANPE-27)

13th - 14th January 2027 , San Miguel - El Salvador

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Call For Papers

The (ICDANPE-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 Procurement Engineering 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:

  • Data analytics for procurement decision-making
  • Predictive analytics in supply chain management
  • Big data applications in procurement engineering
  • Challenges in data-driven procurement strategies
  • Supplier performance evaluation using analytics
  • Data visualization tools for procurement insights
  • Impact of analytics on procurement efficiency
  • Machine learning in procurement processes
  • Case studies on successful data analytics
  • Real-time data usage in procurement
  • Data governance in procurement analytics
  • Integrating analytics into procurement workflows
  • Future trends in procurement analytics
  • Ethics of data usage in procurement
  • Training for data analytics in procurement
  • Collaboration through data sharing in supply chains
  • Impact of data quality on procurement outcomes
  • Best practices for analytics-driven procurement
  • Evaluating ROI of analytics in procurement
  • Data security in procurement analytics

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.