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Call For Papers
The ICMLSCA is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit.
Focusing on Artificial Intelligence,Data Science,Machine Learning, the conference promotes research aligned with global development goals and long-term sustainability.
Authors are invited to submit papers addressing, but not limited to, the following areas:
01
Machine learning for supply chain optimization
02
Data analytics in logistics management
03
Predictive analytics for inventory management
04
AI applications in demand forecasting
05
Challenges in supply chain data integration
06
Real-time data processing in supply chains
07
AI-driven solutions for transportation logistics
08
Data visualization for supply chain insights
09
Machine learning for risk management in supply chains
10
Ethics of AI in supply chain practices
11
Collaborative supply chain data sharing
12
AI for enhancing supplier relationship management
13
Future trends in supply chain analytics
14
Data-driven decision making in logistics
15
Machine learning for quality control in supply chains
16
AI applications in last-mile delivery
17
Impact of IoT on supply chain data science
18
Machine learning for production scheduling
19
Data privacy concerns in supply chain analytics
20
AI for sustainable supply chain practices
Assessment
All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.
Registration
Join participants from around the world by completing your registration and becoming part of a global research community.
Publication
Accepted papers will gain international exposure through conference presentations and publication opportunities.
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