+1 7178835943 [email protected]
Hybrid Event (In-person or Virtual participation)

International Conference on Supply Chain Analytics for Digital Markets · Registering as Listener

ICSCADM
📅 23 – 24 Sep 2026 📍 Seoul, South Korea 👥 Standard / Physical Participation
Listener Registration From
$205
Registration Benefits:
Official invitation letterIssued automatically after registration
🎖 Certificate & digital materialsGet certificate, slides and resource materials
🌐 Supporting global researchConnect with researchers across 30+ countries

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

All sessions Networking Certificate Invitation letter Conference kit
Standard Registration Closed — You may continue with Virtual Registration to join the conference remotely.

Your details

We only need what's required to register and email your confirmation. Everything else is optional.

Coupon Code (If Any)

Have a code? Apply it here — the discount updates the total immediately.

🏷

For Support Please Contact

VISAMASTERCARDNET BANKINGUPI

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Registration summary

ConferenceInternational Conference on Supply Chain Analytics for Digital Markets
ModeVirtual
ParticipationListener
Registration fee$145.00
Bank charges (5.8%)$8.41
Total payable $153.41

Includes all bank processing charges — the amount above is exactly what will be charged.

Need help?

Contact our registration team:

📞 +91 93445 35349

Benefits of Registering as Listener

👥Access to Conference Sessions
🔗Networking Opportunities
🎖Certificate of Participation
Invitation Letter Support
📚Conference Kit / Materials
🎤Access to Keynote Sessions
• Conference Session Tracks •
SDG

SDG-Aligned Research Themes

Conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 8 SDG 9 SDG 11 SDG 12

This track focuses on the application of advanced data analytics techniques to enhance supply chain efficiency. Participants will explore methodologies for optimizing logistics, demand forecasting, and inventory management.

This session examines the integration of supply chain management with e-commerce strategies to improve operational effectiveness. Discussions will center on fulfillment processes, customer satisfaction, and market responsiveness.

This track highlights the role of predictive analytics in demand planning within supply chains. Researchers will present innovative models that leverage historical data to forecast future demand accurately.

This session delves into the advancements in smart warehousing technologies and their impact on inventory management. Topics will include automation, real-time tracking, and data-driven decision-making.

This track focuses on transportation optimization strategies that enhance supply chain performance in digital markets. Participants will discuss innovative approaches to reduce costs and improve delivery times.

This session explores the transformative potential of blockchain technology in supply chain management. Discussions will cover transparency, traceability, and the implications for logistics operations.

This track emphasizes the importance of real-time logistics and visibility in modern supply chains. Participants will examine tools and technologies that facilitate enhanced tracking and communication.

This session investigates the role of data-driven operations in optimizing supply chain processes. Researchers will present case studies demonstrating the impact of analytics on operational efficiency.

This track focuses on the use of distribution analytics to evaluate and improve supply chain performance. Participants will discuss key performance indicators and analytical frameworks for effective decision-making.

This session examines emerging trends in e-commerce fulfillment and their implications for logistics strategies. Discussions will include last-mile delivery innovations and customer-centric approaches.

This track looks ahead to future trends and innovations in supply chain analytics. Participants will explore the evolving landscape of data analytics and its potential to shape the future of supply chains.

COPYRIGHT © 2026 ISAR. ALL RIGHTS RESERVED