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

9. Industry-Specific Empirical Studies: Implementation Cases of Intelligence-Driven Business and Economic Value

Manufacturing industry: Practical pathways of "production data-efficiency improvement-cost optimization" in smart factories (including industrial internet and predictive maintenance)
Financial industry: Data-driven balance between risk and return: Empirical research on intelligent risk control, algorithmic wealth management, and digital payment
Retail industry: Omnichannel data collaboration: Case analysis of precision marketing, inventory optimization, and customer Lifetime Value (LTV) enhancement
Healthcare and agriculture: Intelligent conversion of health data (personalized diagnosis and treatment) and value realization of agricultural data (yield prediction, pest and disease monitoring)

Other related issues