Web-based operational management system with intelligent notification agent at the HG Banana plantation

Abstract

Introduction: The efficiency of inventory management, agronomic monitoring, and report generation for analysis are decisive factors in creating decision-making models for complex, non-linear contexts. Objectives: This research implements and evaluates the performance of a web-based system for the operational management of Bananera HG, utilizing intelligent notification agents.. Methodology: ...based on a mixed-methods approach adopted for the application of a non-experimental, cross-sectional design, integrated with an implementation phase to evaluate the system in an operational environment. A representative sample of 60 active employees from Bananera HG was selected; participants were chosen using probability sampling, ensuring a 95% confidence level. Results: Data analysis revealed critical weaknesses; error indicators showed a 78% impact, with delays reporting up to 25 minutes. The implementation of the operational management system achieved a 45% reduction in operational errors and an 80% optimization in report generation, cutting process flow times down to 5 minutes. Furthermore, the integration of the smart notification agent achieved an 88% positive rating, based on the feedback provided by the staff. Conclusions: The findings confirm that replacing manual, analog processes with an automated system driven by artificial intelligence minimizes data inconsistency and variability while optimizing efficiency parameters in the agricultural sector—as demonstrated at Bananera HG—thereby validating the viability of technological solutions tailored to specific local conditions. General area of study: Information and Communication Technologies (ICT) / Systems Engineering. Specific area of study: Information Systems, Web System Development, and Artificial Intelligence Applied to Operational Management. Type of study: Original articles.