Pre-Enrollment

27th August 2026

Final Paper Submission

1st September 2026

Registration Deadline

11th September`2026

Conference Date

26th Sep - 27th Sep 2026

Call for Papers

The International Conference on Big Data and Analytics in Logistics invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Logistics, the conference aims to bridge theoretical advancements with real-world applications.

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

01
Big Data Applications In Logistics
02
Predictive Analytics For Supply Chain Management
03
Data-driven Decision Making In Logistics
04
Challenges In Big Data Integration
05
Real-time Data Analytics In Logistics
06
Impact Of Ai On Logistics Analytics
07
Data Privacy Issues In Logistics
08
Case Studies On Big Data In Logistics
09
Supply Chain Visibility Through Data
10
Machine Learning Applications In Logistics
11
Data Governance In Logistics Operations
12
Visualization Techniques For Logistics Data
13
Collaborative Data Sharing In Logistics
14
Big Data And Sustainability In Logistics
15
Logistics Performance Measurement With Data
16
Future Trends In Logistics Analytics
17
Impact Of Iot On Logistics Data
18
Data Quality Issues In Logistics Analytics
19
Logistics Optimization Through Big Data
20
Ethical Considerations In Logistics Data Use
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review