A Mobile System with Usage Pattern Analysis to Optimize Storage Management

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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)538-544
Number of pages7
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume15
Issue number2
DOIs
StatePublished - 2025

Keywords

  • Cost reduction
  • efficiency improvement
  • product distribution
  • warehousing management

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