Journal of Logistics, Informatics and Service Science | 2026
Authors: Li F.; Fan Y.; Kishimzhan Z.; Wang X.; Abdykadyrov K.Zh.
DOI: 10.33168/JLISS.2026.0503
Journal: Journal of Logistics, Informatics and Service Science
Year: 2026
Publisher: Success Culture Press
Document Type: Article
Open Access: All Open Access; Gold Open Access
Cited by: 0
The challenges that are involved in the China-Kyrgyzstan Medical E-commerce Innovation Project include the allocation of resources in an uneven manner, the lack of data standards in a multi-tier medical management, which prevent effectively collaborating and conducting e-commerce operations in the pharmaceutical supply chain. In this paper, a three-stage management model is developed using theory of medical management collaboration and digital governance model: data-driven-process integration-intelligent monitoring. Standard drug procurement and inventory management is done through the Enterprise Resource Planning (ERP) system. Second, cross-departmental and cross-institutional business processes are integrated on a Business Process Management (BPM) platform to provide a real-time data exchange between various parties. Lastly, there is the introduction of Artificial Intelligence (AI) algorithms which are used to optimize pharmaceutical demand forecasting and schedule logistics. The project was tested at the same time in Jiangsu and Bishkek, Kyrgyzstan. After the system went live, overall operational efficiency improved by 30.1%, drug procurement cycle shortened by 42.6%, inventory capital occupancy rate decreased by 8.8 percentage points, and information flow time was shortened by 41.8%. This model effectively improves the collaboration and responsiveness of the medical e-commerce system, providing replicable experience and pathways for the management and implementation of innovative medical e-commerce projects. © 2026, Success Culture Press. All rights reserved.
Digital Collaboration; Intelligent Decision-Making; Medical E-Commerce; Project Management; Resource Optimization