Hybrid Conferencee

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

22nd - 23rd August 2026 | San Diego, USA
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Conference Brochure
Sample Full Paper
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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 San Diego. 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 San Diego 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 San Diego conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in San Diego, 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 San Diego."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLSCA 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 Artificial Intelligence,Data Science,Machine Learning, 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
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