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All Journal West Science Social and Humanities Studies
Sumarni Sumarni
Sekolah Tinggi Ilmu Ekonomi TRIGUNA Tangerang
Humanities Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Influence of Machine Learning Algorithm, Demand Prediction, and Automation System in Responsive Inventory Management in Retail Industry in Central Java Loso Judijanto; Vierkury Metyopandi; Sumarni Sumarni
West Science Social and Humanities Studies Vol. 2 No. 12 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i12.1491

Abstract

This study investigates the impact of machine learning algorithms, demand prediction, and automation systems on responsive inventory management in the retail industry of Central Java. Using a quantitative approach, data were collected from 160 respondents through a structured questionnaire employing a Likert scale (1–5) and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings reveal that automation systems and demand prediction significantly and positively influence responsive inventory management, while machine learning algorithms exhibit a significant but negative relationship. Automation systems streamline processes and improve efficiency, and demand prediction enhances inventory alignment with market needs. However, challenges such as limited technical expertise and integration issues hinder the effective use of machine learning. These results underscore the importance of strategic technology adoption and provide practical insights for improving inventory management practices in the retail sector of developing regions.
Co-Authors Loso Judijanto Vierkury Metyopandi