Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Data analytics for supply chain optimization
- Impact of big data on logistics decisions
- Predictive analytics in supply chain management
- Real-time data utilization in logistics
- Case studies on data-driven logistics
- Challenges in implementing data analytics
- Data visualization techniques for logistics
- AI and machine learning in supply chain analytics
- Supply chain performance metrics and analytics
- Future trends in data analytics for logistics
- Collaboration through data sharing in logistics
- Customer insights through data analytics
- Data governance in supply chain analytics
- Impact of IoT on data analytics in logistics
- Education and training for data analytics
- Ethical considerations in data analytics
- Data analytics for risk management in logistics
- Innovations in logistics data analytics tools
- Global perspectives on data analytics trends
- Best practices for data-driven decision making
All papers must be original and not previously published or submitted elsewhere.
