Call for Papers

CALL FOR PAPERS

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The topics of interest include, but are not limited to:

1. AI in Consumer Behavior Analysis and Personalization

  • Understanding Consumer Preferences with AI
  • Personalized Marketing Strategies using Machine Learning
  • AI for Dynamic Pricing Models in E-Commerce
  • Behavioral Segmentation Using AI Tools

2. AI for Optimizing E-Commerce Supply Chain and Inventory Management

  • Demand Forecasting using AI and Big Data
  • AI for Inventory Optimization and Stock Replenishment
  • Smart Logistics: AI and Automation in E-Commerce Shipping
  • AI-Driven Supply Chain Resilience

3. AI in E-Commerce Fraud Detection and Cybersecurity

  • Machine Learning for Fraud Detection in Digital Transactions
  • AI for Cybersecurity: Protecting Data and Consumer Trust
  • AI-Enhanced Identity Verification Systems
  • Predictive Risk Analysis for E-Commerce

4. AI-Enhanced Smart Commerce Systems

  • Generative AI for Cross-Border Supply Chain Optimization
  • Intelligent Pricing Algorithms and Dynamic Market Forecasting
  • Blockchain-AI Synergy in Transparent Trade Systems
  • Smart Decision Models for Sustainable Energy Economics

5. Secure AI-Driven Transactions

  • Privacy-Preserving User Analytics via Federated Learning
  • Cryptographic Solutions for Cross-Border Payments and Smart Contracts
  • AI-Powered Fraud Detection and Digital Identity Verification
  • E-Commerce Security Architectures in the Quantum Computing Era

6. Cognitive Technologies in Business Intelligence

  • Multimodal Cognitive Computing for Consumer Behavior Prediction
  • Large Language Models (LLMs) in Intelligent Customer Service Systems
  • Neuroeconomics and Brain-Computer Interface Integration
  • Explainable AI (XAI) for Financial Auditing and Decision Support

7. Intelligent Automation in Business Process Management

  • AI-Driven Workflow Automation for Supply Chain Resilience
  • Robotic Process Automation (RPA) in Financial Auditing and Compliance
  • Natural Language Processing (NLP) for Contract Analysis and Risk Mitigation
  • Ethical AI Governance in Automated Decision-Making Systems

8. Computational Intelligence for Sustainable E-Commerce

  • AI-Optimized Carbon Footprint Tracking in Global Trade
  • Reinforcement Learning for Energy-Efficient Logistics Networks
  • Predictive Analytics in Circular Economy Business Models
  • Bias Mitigation in AI-Driven Consumer Demand Forecasting

Other related issues