Construction of Tourism E-Commerce Platform Based on Artificial Intelligence Algorithm

Area of Science:

• * Information Technology and E-commerce
• * Artificial Intelligence Applications in Tourism

Background:

• * The rapid growth of the internet and e-commerce has transformed global travel.
• * Tourism e-commerce development has lagged behind general e-commerce growth.
• * Existing platforms face challenges in information flow and personalized experiences.

Purpose of the Study:

• * To address the lagging development of tourism e-commerce.
• * To construct an artificial intelligence (AI)-based tourism e-commerce platform.
• * To build an AI-driven smart tourism big data analysis model.

Main Methods:

• * Integration of modern information technology, cloud computing, and big data analysis.
• * Application of AI algorithms, including K-means clustering.
• * Comparative analysis of traditional and modern cloud platform construction methods.
• * Selection of optimal networking methods (wired/wireless) based on economic and practical considerations.
• * Demand analysis from diverse stakeholder perspectives (tourists, providers, agencies).

Main Results:

• * The developed AI tourism mobile e-commerce platform effectively meets customer needs for tourism-related commodities.
• * Demonstrated an increase in tourist arrivals by 3.54%.
• * Achieved a 4.2% increase in the economy of tourist destinations.

Conclusions:

• * The AI-based platform successfully promotes the development of the tourism e-commerce industry.
• * The system offers cost savings and efficiency improvements for travel service providers.
• * The platform enhances the overall tourist experience and economic impact on destinations.