A Mobile System with Usage Pattern Analysis to Optimize Storage Management

Pablo Medina-Tapara (1), Fernando Orihuela-Vera (2), Michael Cabanillas-Carbonell (3)
(1) Facultad de Ingeniería, Universidad Privada del Norte, Lima, Peru
(2) Facultad de Ingeniería, Universidad Privada del Norte, Lima, Peru
(3) Facultad de Ingeniería, Universidad Privada del Norte, Lima, Peru
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P. Medina-Tapara, F. Orihuela-Vera, and M. Cabanillas-Carbonell, “A Mobile System with Usage Pattern Analysis to Optimize Storage Management”, Int. J. Adv. Sci. Eng. Inf. Technol., vol. 15, no. 2, pp. 538–544, Apr. 2025.
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.

United Nations, "Micro-, small and medium-sized enterprises day," Jun. 2024. [Online]. Available: https://www.un.org/en/observances/micro-small-medium-businesses-day.

World Bank, "Small and medium enterprises (SMEs) finance." [Online]. Available: https://www.worldbank.org/en/topic/smefinance.

International Finance Corporation (IFC), "Closing the MSME finance gap." [Online]. Available: https://www.ifc.org/en/what-we-do/sector-expertise/financial-institutions/msme-finance.

Banco Interamericano de Desarrollo (BID), "Transformación digital empresarial: ¿Cómo nivelar la cancha?" [Online]. Available: https://publications.iadb.org/es/publications/spanish/viewer/Transformacion-digital-empresarial-Como-nivelar-la-cancha.pdf.

M. Dini, G. Stumpo, and U. Eueopea, "Mipymes en América Latina: un frágil desempeño y nuevos desafíos para las políticas de fomento," CEPAL. [Online]. Available: https://repositorio.cepal.org/bitstream/handle/11362/44148/1/S1900361_es.pdf.

S. E. Delgado-Soto, L. Cruz-Rivero, and E. Lince-Olguín, "Free software in inventory control: Case study." [Online]. Available: https://www.researchgate.net/publication/337843178_El_Uso_de_Software_libre_en_el_control_de_inventarios.

Instituto Nacional de Estadística e Informática (INEI), "Tecnologías de información y comunicación en las empresas," 2019.

R. R. Panigrahi, A. K. Shrivastava, and P. K. Kapur, "Impact of inventory management practices on the operational performances of SMEs: Review and future research directions," Int. J. Syst. Assur. Eng. Manag., vol. 15, no. 5, pp. 1934-1955, Jan. 2024, doi: 10.1007/s13198-023-02216-4.

Deloitte Insights, "Tech trends 2020." [Online]. Available: https://www2.deloitte.com/us/en/insights/focus/tech-trends/2020/tech-trends-introduction.html.

PwC, "Financial services technology 2020 and beyond: Embracing disruption," PwC Global Tech Rep., 2020. [Online]. Available: http://www.pwc.com/gx/en/financial-services/.

S. B. Mohammed, B. Krothapalli, and C. Althat, "Advanced techniques for storage optimization in resource-constrained systems using AI and machine learning," J. Sci. Technol., vol. 4, pp. 89-125, 2023.

C. A. Francisco and W. A. Fuller, "Quantile estimation with a complex survey design," Ann. Stat., vol. 19, no. 1, Dec. 2007, doi: 10.1214/AOS/1176347993.

W. N. Wassouf et al., "Predictive analytics using big data for increased customer loyalty: Syriatel Telecom Company case study," J. Big Data, vol. 7, no. 1, pp. 1-24, Dec. 2020, doi: 10.1186/s40537-020-00290-0.

I. H. Sarker et al., "Context pre-modeling: An empirical analysis for classification based user-centric context-aware predictive modeling," J. Big Data, vol. 7, no. 1, pp. 1-23, Dec. 2020, doi: 10.1186/s40537-020-00328-3.

S. Vichare et al., "Intelligent application of voice recognition and personal secretariat for effective business management," in Proc. Sardar Patel Int. Conf. Ind. 4.0 (SPICON), Mumbai, India, 2022, doi: 10.1109/spicon56577.2022.10180496.

G. L. Intal et al., "IBiz: An Android mobile application with business intelligence for retail micro and small enterprises (MSEs)," in Proc. ACM Int. Conf. Ser., pp. 394-400, Apr. 2022, doi: 10.1145/3537693.3537755.

K. M. Nyandongo and M. R. Madumo, "Assessing the effectiveness of the scrum framework and its successful implementation," Proc. IEEE 28th Int. Conf. Eng., Technol. Innov. (ICE/ITMC), Nancy, France, 2022, doi: 10.1109/ICE/ITMC-IAMOT55089.2022.10033259.

N. Khanna, A. Singh, and P. Awasthi, "Utilization and application of scrum framework: A perspective of the manufacturing industry," AIP Conf. Proc., vol. 2782, p. 020140, Jun. 2023, doi: 10.1063/5.0154677.

M. D. Kadenic, K. Koumaditis, and L. Junker-Jensen, "Mastering scrum with a focus on team maturity and key components of scrum," Inf. Softw. Technol., vol. 153, p. 107079, Jan. 2023, doi: 10.1016/j.infsof.2022.107079.

U. Ameta, M. Patel, and A. K. Sharma, "Scrum framework based on agile methodology in software development and management," pp. 321-332, 2021, doi: 10.1007/978-981-16-3915-9_28.

S. N. Ahmed, "Agile scrum in medical device software development process," M.S. thesis, Tampere Univ., Finland, Jun. 2021. [Online]. Available: https://trepo.tuni.fi/handle/10024/133095.

F. Heath, The Professional Scrum Master Guide: The Unofficial Guide to Scrum with Real. 2021.

I. M. M. P. De Ranasinghe and L. Munasinghe, "Comparison of performances of ML-algorithms in the estimation of the execution time of non-parallel Java programs," J. Sci. Univ. Kelaniya, vol. 16, no. 1, pp. 15-21, Apr. 2023, doi: 10.4038/josuk.v16i1.8074.

G. Gunadi and A. Budiyantara, "Implementation of high fidelity prototyping in online field placement program system design," Infotech: J. Technol. Inf., vol. 7, no. 2, pp. 87-98, Jan. 2021, doi: 10.37365/jti.v7i2.118.

I. Nurchintyawati, "Android based educational game in learning and teaching English vocabulary," J. Appl. Linguist., vol. 1, no. 2, pp. 13-18, Jan. 2022, doi: 10.52622/joal.v2i1.44.

A. Sarkar et al., "Android application development: A brief overview of Android platforms and evolution of security systems," Proc. 3rd Int. Conf. I-SMAC (IoT Soc., Mobile, Anal. Cloud), pp. 73-79, Dec. 2019, doi: 10.1109/I-SMAC47947.2019.9032440.

Mockitt, "Guide: How to use AI prototype generator." [Online]. Available: https://mockitt.wondershare.com/guide/ai-prototype-generator.html.

T. Lieberum, S. Schiffels, and R. Kolisch, "Should we all work in sprints? How agile project management improves performance," Manuf. Serv. Oper. Manag., vol. 24, no. 4, pp. 2293-2309, Jul. 2022, doi: 10.1287/msom.2022.1091.

L. Andrade-Arenas et al., "Mobile application: Awareness of the population on the environmental impact," Bull. Electr. Eng. Inform., vol. 13, no. 2, pp. 1256-1267, Apr. 2024, doi: 10.11591/eei.v13i2.6131.

L. E. P. Aquije et al., "Design of a mobile application for the logistics process of a fire company," Int. J. Adv. Comput. Sci. Appl., vol. 13, no. 9, pp. 691-699, Dec. 2022, doi: 10.14569/ijacsa.2022.0130982.

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