18th International Conference on E-business, Management and Economics (ICEME 2027)

The 18th International Conference on E-business, Management and Economics (ICEME 2027) presents cutting-edge research and applications of artificial intelligence, automation, and digital innovation shaping the future of e-business, management, and economics.

Key Topics

• AI in Consumer Behavior Analysis and Personalization
  • Machine learning for personalized marketing strategies
  • AI-driven dynamic pricing models and behavioral segmentation
  • Understanding consumer preferences through intelligent systems
• AI for Optimizing E-Commerce Supply Chain and Inventory Management
  • Demand forecasting with AI and big data
  • Smart logistics and automation in e-commerce shipping
  • AI-based inventory optimization and supply chain resilience
• AI in E-Commerce Fraud Detection and Cybersecurity
  • Machine learning for fraud prevention in digital transactions
  • AI-enhanced identity verification and predictive risk analysis
  • Cybersecurity solutions for protecting data and consumer trust
• AI-Enhanced Smart Commerce Systems
  • Generative AI for cross-border supply chain optimization
  • Blockchain-AI synergy in transparent trade and smart decision systems
  • Dynamic market forecasting and intelligent pricing algorithms
• Secure AI-Driven Transactions
  • Federated learning for privacy-preserving analytics
  • Cryptographic solutions for smart contracts and payments
  • Quantum-era e-commerce security architectures
• Cognitive Technologies in Business Intelligence
  • Large language models for intelligent customer service
  • Explainable AI for financial auditing and decision support
  • Neuroeconomics and brain-computer interface applications
• Intelligent Automation in Business Process Management
  • AI-driven workflow automation and robotic process automation (RPA)
  • Natural language processing for contract analysis and compliance
  • Ethical governance of automated decision-making systems
• Computational Intelligence for Sustainable E-Commerce
  • AI-optimized carbon footprint tracking and green logistics
  • Predictive analytics in circular economy models
  • Bias mitigation in AI-based demand forecasting
• Industry-Specific Empirical Studies
  • Smart factory data efficiency and predictive maintenance in manufacturing
  • Intelligent risk control and digital payments in finance
  • Omnichannel data collaboration and precision marketing in retail
  • Health and agricultural data intelligence for diagnosis and yield prediction

Who should Attend

• Researchers and scholars in e-business, AI, and management
• Economists and data scientists
• Business strategists and innovation leaders
• Technology developers and automation specialists
• Corporate executives and digital transformation managers
• Policy makers and cybersecurity professionals