A Mobile System with Usage Pattern Analysis to Optimize Storage Management

Limited storage on mobile devices and the lack of adequate technological systems for inventory management make it difficult for micro, small, and medium-sized enterprises (MSMEs). Approximately 30% of these companies do not use technology systems for inventory management, while only 20% have incorporated digital technologies into their operations. This research aims to develop a mobile system with usage pattern analysis to optimize storage management. The Scrum methodology was used, as it allows agile and flexible project management, facilitating the adaptation to changes and the continuous delivery of functionalities. The study was based on evaluations of criteria such as usability, design, functionality, and efficiency by 10 experts using the Likert scale. It showed that the implementation of this mobile application had a highly significant influence of 9.85% on efficiency improvement and a substantial influence of 10.18% on cost reduction. In addition, the mobile system was found to positively and significantly impact product distribution. These results support adopting this tool as an effective strategy to improve efficiency and customer satisfaction and increase the company's profitability and competitiveness. In conclusion, the development of this mobile system is presented as an innovative solution to face the challenges of mobile storage in MSMEs, contributing to optimizing their inventory management and improving their competitiveness in the market.

Authors

Publication Details

Journal
International Journal on Advanced Science Engineering and Information Technology
Published
2025-04-27
DOI
https://doi.org/10.18517/ijaseit.15.2.20494
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
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article

A Mobile System with Usage Pattern Analysis to Optimize Storage Management

Michael Cabanillas-Carbonell, Pablo Medina-Tapara, Fernando Orihuela-Vera
International Journal on Advanced Science Engineering and Information Technology
Advanced Manufacturing and Logistics Optimization
article

A Mobile System with Usage Pattern Analysis to Optimize Storage Management

Michael Cabanillas-Carbonell, Pablo Medina-Tapara, Fernando Orihuela-Vera
article en

Abstract

Limited storage on mobile devices and the lack of adequate technological systems for inventory management make it difficult for micro, small, and medium-sized enterprises (MSMEs). Approximately 30% of these companies do not use technology systems for inventory management, while only 20% have incorporated digital technologies into their operations. This research aims to develop a mobile system with usage pattern analysis to optimize storage management. The Scrum methodology was used, as it allows agile and flexible project management, facilitating the adaptation to changes and the continuous delivery of functionalities. The study was based on evaluations of criteria such as usability, design, functionality, and efficiency by 10 experts using the Likert scale. It showed that the implementation of this mobile application had a highly significant influence of 9.85% on efficiency improvement and a substantial influence of 10.18% on cost reduction. In addition, the mobile system was found to positively and significantly impact product distribution. These results support adopting this tool as an effective strategy to improve efficiency and customer satisfaction and increase the company's profitability and competitiveness. In conclusion, the development of this mobile system is presented as an innovative solution to face the challenges of mobile storage in MSMEs, contributing to optimizing their inventory management and improving their competitiveness in the market.

International Journal on Advanced Science Engineering and Information TechnologyVol. 15(2)
Openalex Percentile: Top 87%
Advanced Manufacturing and Logistics Optimization
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