International Conference on Supply Chain Analytics for Digital Markets - (ICSCADM-27)


29th - 30th January, 2027 | Kayseri, Turkey

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

30th December, 2026

Paper Submission Deadline

4th January, 2027

Last Date Of Registration

14th January, 2027

Date Of Conference

29th - 30th January, 2027

Downloads

Call for Papers

The (ICSCADM-27) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Data Analytics, E Commerce, Marketing, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

  • Supply chain analytics for digital transformation
  • Data-driven decision making in supply chains
  • Impact of AI on supply chain efficiency
  • Real-time tracking and analytics solutions
  • Challenges in supply chain data integration
  • Predictive analytics for supply chain optimization
  • Case studies on successful supply chain analytics
  • Role of big data in supply chain management
  • Supply chain resilience through data analytics
  • Sustainability in supply chain analytics practices
  • Collaboration tools for supply chain analytics
  • Future trends in supply chain analytics technologies
  • Impact of e-commerce on supply chain dynamics
  • Data visualization techniques for supply chain insights
  • Supply chain risk management through analytics
  • Ethical considerations in supply chain data usage
  • Integrating IoT with supply chain analytics
  • Supply chain performance metrics and analysis
  • Cross-border supply chain challenges and solutions
  • Supply chain analytics for customer satisfaction

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.