Economic Decision-Making in Sensor Software Systems Using Predictive AI Approaches

George Chirita and Mioara Chirita
Additional contact information
George Chirita: Dunarea de Jos University of Galati, Romania
Mioara Chirita: Dunarea de Jos University of Galati, Romania

Economics and Applied Informatics, 2025, issue 2, 177-182

Abstract: In the current context of the rapid development of sensor-based software systems, economic decision-making has become essential for optimizing resources and reducing operational costs. This paper analyzes the applicability of AI-based predictive methods in supporting the economic decision-making process in sensor-based software systems. Using machine learning models, resource consumption can be forecasted, operational costs can be estimated, and system performance can be evaluated under different conditions. The main objective of the research is to facilitate informed decision-making regarding the configuration, scaling, and maintenance of software systems that manage sensor networks, in order to achieve increased economic efficiency. This study refers to a theoretical analysis which details the methodological principles, but also the design rationale underlying predictive AI models applied in economic decision-making. The research results highlight the benefits of applying AI to anticipate system behavior and reduce costs associated with overprovisioning, excessive energy consumption, or reactive maintenance. The conclusions of the paper highlight the real potential of artificial intelligence in transforming sensor-based software systems into more economically sustainable infrastructures, while providing a valuable tool for decision-makers in industrial, urban or research contexts.

Keywords: economic decision-making; sensor-based software systems; ai; predictive modeling; resource optimization; machine learning in cost reduction (search for similar items in EconPapers)
Date: 2025
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://eia.feaa.ugal.ro/images/eia/2025_2/Chirita_Chirita.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2025:i:2:p:177-182

DOI: 10.35219/eai15840409526

Access Statistics for this article

More articles in Economics and Applied Informatics from "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration Contact information at EDIRC.
Bibliographic data for series maintained by Gianina Mihai ().