On-location / Digital Conference

International Conference on Supply Chain Analytics in Business and Marketing (ICSCABM-27)

17th - 18th Jun 2027,Bormla, Malta

In Association With:

Call for Paper


Important Dates


Early Bird Registration

18th May 2027

Paper Submission Deadline

23rd May 2027

Registration Deadline

2nd June 2027

Conference Date

17th - 18th Jun 2027

Conference Updates:

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Bormla ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Bormla conference.
  • Peer Review Process:
    The peer review process will begin soon for Bormla conference.
  • Networking with Global Experts:
    Join global experts at our conference in Bormla.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICSCABM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Supply Chain Analytics in Business and Marketing, encouraging applied research, case studies, and industry-driven innovations.

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

  • Supply chain analytics for business optimization
  • Data-driven strategies for supply chain management
  • Impact of technology on supply chain efficiency
  • Case studies on successful supply chain analytics
  • Challenges in implementing supply chain analytics
  • Future trends in supply chain technologies
  • Integrating customer insights into supply chain strategies
  • Best practices for supply chain performance measurement
  • Role of AI in supply chain optimization
  • Ethics of data use in supply chain analytics
  • Leveraging big data for supply chain insights
  • Inventory management through predictive analytics
  • Innovations in supply chain analytics tools
  • Measuring ROI of supply chain initiatives
  • Cross-channel strategies for supply chain efficiency
  • Utilizing machine learning for supply chain insights
  • Impact of global trends on supply chain strategies
  • Data visualization techniques for supply chain analytics
  • Building a culture of data-driven supply chain
  • Customer satisfaction in supply chain management

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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