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Hybrid Event

3rd - 4th July 2026 | Milan, Italy

International Conference on Machine Learning for Supply Chain Analytics (ICMLSCA - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMLSCA) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Artificial Intelligence,Data Science,Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.