A Feasibility Study on Utilizing AI to Enhance Administrative Efficiency at the College of Logistics and Supply Chain, Suan Sunandha Rajabhat University

Abstract

This study explores the feasibility of utilizing Artificial Intelligence (AI) to enhance administrative efficiency at the College of Logistics and Supply Chain, Suan Sunandha Rajabhat University. The research aims to identify potential AI applications in administrative tasks, analyze their technical and financial viability, and evaluate the impact on organizational operations. Key areas of focus include automating repetitive tasks, improving data management, and enhancing communication processes. The study employs a mixed-method approach, combining qualitative interviews with stakeholders and quantitative analysis of administrative workflows. Findings reveal that AI technologies, such as chatbots, robotic process automation (RPA), and natural language processing (NLP), have significant potential to reduce workload, increase accuracy, and save operational costs. However, challenges such as staff readiness, initial implementation costs, and data privacy concerns are highlighted. This research provides actionable insights and recommendations for implementing AI solutions to optimize administrative functions, contributing to the overall efficiency and innovation of the institution.