Practical Integration of IoT Sensor Data with Open-Source ERP: Optimizing Processes, Driving Insights, and Enabling Smart Vision and Full Business Automation

Abstract

The integration of Internet of Things (IoT) sensor data with Enterprise Resource Planning (ERP) systems has emerged as a pivotal technology-driven initiative, offering vast potential for process optimization, enhanced data-driven decision-making, and profound business impact. This research endeavors to delve into this integration, comprehensively examining the implications for organizations, with a practical project serving as a proof of concept. The study scrutinizes the intricacies of IoT sensor integration with ERP systems, shedding light on the optimization of business processes and the extraction of valuable data insights. In addition, the research extends its focus towards “smart vision” technologies, aiming to achieve a higher level of automation and real-time decision support. The core of this research lies in the practical project, where a proof of concept is executed to integrate temperature sensors with the Odoo ERP system. This project serves as a real-world demonstration of the integration's applicability and the tangible benefits it brings. By bridging the gap between theoretical concepts and practical implementation through this proof of concept, the study aims to provide actionable insights for organizations looking to harness the power of IoT sensor data, smart vision, and automation within their ERP systems. The outcomes of this research not only contribute to the growing body of knowledge on IoT-ERP integration but also provide a roadmap for organizations to leverage these technologies effectively in the modern business landscape.