International Conference on Machine Learning for Supply Chain Analytics ICMLSCA

Call For Papers

The ICMLSCA bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Artificial Intelligence, Data Science, Machine Learning , encouraging applied research, case studies, and industry-driven innovations.

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

Machine learning for supply chain optimization

Data analytics in logistics management

Predictive analytics for inventory management

AI applications in demand forecasting

Challenges in supply chain data integration

Real-time data processing in supply chains

AI-driven solutions for transportation logistics

Data visualization for supply chain insights

Machine learning for risk management in supply chains

Ethics of AI in supply chain practices

Collaborative supply chain data sharing

AI for enhancing supplier relationship management

Future trends in supply chain analytics

Data-driven decision making in logistics

Machine learning for quality control in supply chains

AI applications in last-mile delivery

Impact of IoT on supply chain data science

Machine learning for production scheduling

Data privacy concerns in supply chain analytics

AI for sustainable supply chain practices

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event