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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Internet of Things, Big Data and Security, IoTBDS 2025
EditorsAli Emrouznejad, Patrick Hung, Andreas Jacobsson
PublisherScience and Technology Publications, Lda
Pages231-236
Number of pages6
ISBN (Electronic)9789897587504
DOIs
StatePublished - 2025
Event10th International Conference on Internet of Things, Big Data and Security, IoTBDS 2025 - Porto, Portugal
Duration: 6 Apr 20258 Apr 2025

Publication series

NameInternational Conference on Internet of Things, Big Data and Security, IoTBDS - Proceedings
ISSN (Electronic)2184-4976

Conference

Conference10th International Conference on Internet of Things, Big Data and Security, IoTBDS 2025
Country/TerritoryPortugal
CityPorto
Period6/04/258/04/25

Keywords

  • Automation
  • Automotive Sector
  • Inventory Management
  • IoT
  • Operational Efficiency
  • RPA
  • Real-Time Monitoring
  • SMEs
  • Supply Chain Optimisation

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