ARTIFICIAL INTELLIGENCE (AI) FOR ECOMMERCE IN HEALTHCARE AND GLOBAL SUPPLY CHAIN MANAGEMENT
The swift advancement of Artificial Intelligence (AI) is transforming E-commerce and international supply chain management, especially within the healthcare industry. This paper investigates the significant effects of AI-enabled technologies on operational performance, transparency, and customer satisfaction. The research demonstrates how AI tackles substantial global supply chain challenges using cutting-edge techniques such as demand forecasting, inventory management, warehouse automation, and blockchain integration. Key outcomes indicate notable enhancements, including a 15-25% improvement in forecasting accuracy, a 20% decrease in delivery times, and a 15% increase in customer satisfaction. Predictive analytics, robotics, and blockchain technology facilitate real-time data visibility, improved security, and fraud mitigation. In healthcare E-commerce, the use of AI in predictive maintenance and cold-chain logistics has proven crucial for meeting regulatory standards and ensuring the prompt delivery of temperature-sensitive items. The study also highlights obstacles such as high implementation expenses, data quality issues, and stakeholder resistance, suggesting phased deployment strategies and encouraging collaborative approaches to address these challenges. Through a thorough methodology, this research offers practical insights for companies looking to harness AI to streamline supply chains, improve customer experiences, and achieve sustainable growth in a competitive digital landscape. The findings emphasize the strategic significance
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-11-19
- DOI
- https://doi.org/10.5281/zenodo.14184084
- Primary Topic
- Organizational and Employee Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00