Hybrid Conferencee

International Conference on Big Data Analytics for Supply Chain Management (ICBDASCM - 26)

3rd - 4th September 2026 | Naples, Italy

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Naples. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Naples event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Naples conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Naples, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Naples."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICBDASCM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Big data analytics for supply chain efficiency
02
Predictive analytics in inventory management
03
Data-driven logistics optimization strategies
04
Supply chain risk management using data
05
Real-time tracking and data integration
06
Data visualization for supply chain insights
07
Machine learning in demand forecasting
08
Blockchain applications in supply chain
09
Sustainable supply chain practices with data
10
Data ethics in supply chain management
11
Collaborative supply chain networks and data
12
Data-driven supplier performance evaluation
13
IoT applications in supply chain logistics
14
Big data challenges in supply chain
15
Data-driven customer demand analysis
16
Supply chain transparency through data
17
Data integration across supply chain partners
18
Future trends in supply chain analytics
19
Data-driven decision making in procurement
20
Impact of AI on supply chain efficiency