Data Intelligence Drives Innovation in E-Commerce Enterprises

Éditeurs invités

• Jingsha He, Beijing University of Technology
• Sohail S. Chaudhry, Villanova University
• Galina Ilieva, University of Plovdiv

Synthèse

This special issue examines how data intelligence and advanced technologies are transforming e-commerce enterprises. The rapid integration of big data analytics and AI with e-commerce has enabled innovations such as dynamic pricing, personalized recommendations, and optimized supply chains. However, challenges remain in handling massive data volumes, processing both structured and unstructured data, and differentiating competitive offerings through algorithms.

The special issue seeks research addressing current bottlenecks in data-driven e-commerce, including operational efficiency improvements, data processing complexity, and reducing over-reliance on historical data. Contributions should explore how emerging technologies like AI and generative AI can enhance recommendation systems, marketing strategies, and cross-channel retail integration while overcoming algorithm homogenization issues.

Thèmes proposés

• Paths to enhance e-commerce efficiency driven by big data
• Data intelligence empowers innovation in e-commerce operations and service upgrading
• Optimization of complex data processing in e-commerce operations through data intelligence
• AI enables solving the problems of structured and unstructured data processing in e-commerce
• E-commerce marketing strategies and accurate capture of user behavior based on in-depth AI analysis
• AI enables optimization of the guidance effectiveness and accuracy of recommendation systems for e-commerce users
• Generative AI breaks through algorithm homogenization to realize personalized services in e-commerce
• Data intelligence promotes the format innovation of integration between e-commerce and physical retail