Hybrid Conference (In Person / Virtual)

International Conference on Data Analytics in Logistics and Supply Chain (ICDALSC - 27)
28th - 29th April 2027 , Roseau, Dominica
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Call For Papers

The ICDALSC provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Circular Economy, Supply Chain, Logistics, encouraging participation from emerging researchers and fostering academic growth.

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

01
Data analytics for supply chain optimization
02
Big data applications in logistics management
03
Predictive analytics for demand forecasting
04
Real-time data integration in supply chains
05
Challenges in data-driven supply chain strategies
06
Case studies of successful data analytics applications
07
Impact of data analytics on supply chain efficiency
08
Collaboration between data scientists and logistics
09
Ethical considerations in data usage
10
Future trends in logistics data analytics
11
Data visualization techniques for supply chain insights
12
Role of IoT in data collection for logistics
13
Data governance and security in supply chains
14
Training for data analytics professionals
15
Integration of data analytics with existing systems
16
AI and machine learning in logistics analytics
17
Metrics for evaluating data analytics effectiveness
18
Impact of data analytics on customer satisfaction
19
Emerging technologies in logistics data analytics
20
Supply chain transparency through data analytics

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.