Inventory Management System Through the Integration of RPA and IoT to Enhance Processes in SMEs Within Peru’s Automotive Sector

Tadashi Buitron, Enzo Peña, Pedro Castañeda

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva

Resumen

This paper presents the design and implementation of an inventory management system that integrates Robotic Process Automation (RPA) and Internet of Things (IoT) technologies to enhance operational efficiency in small and medium-sized enterprises (SMEs) within Peru's automotive sector. The system addresses common challenges faced by SMEs, such as inaccurate inventories and inefficient stock management, through automated processes and real-time monitoring. By streamlining repetitive tasks and enabling continuous inventory updates, the solution reduces operating costs and improves record-keeping accuracy. Initial results show a 30% reduction in management time and a 25% decrease in operational costs, highlighting the transformative potential of RPA and IoT technologies in inventory management. The project offers a practical model that can be scaled and replicated across other sectors, contributing to the long-term competitiveness of SMEs.

Idioma originalInglés estadounidense
Título de la publicación alojadaProceedings of the 10th International Conference on Internet of Things, Big Data and Security, IoTBDS 2025
EditoresAli Emrouznejad, Patrick Hung, Andreas Jacobsson
EditorialScience and Technology Publications, Lda
Páginas231-236
-6
ISBN (versión digital)9789897587504
DOI
EstadoIndizado - 2025
Publicado de forma externa
Evento10th International Conference on Internet of Things, Big Data and Security, IoTBDS 2025 - Porto, Portugal
Duración: 6 abr. 20258 abr. 2025

Serie de la publicación

NombreInternational Conference on Internet of Things, Big Data and Security, IoTBDS - Proceedings
ISSN (versión digital)2184-4976

Conferencia

Conferencia10th International Conference on Internet of Things, Big Data and Security, IoTBDS 2025
País/TerritorioPortugal
CiudadPorto
Período6/04/258/04/25

Nota bibliográfica

Publisher Copyright:
Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

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