DEVELOPING A DECISION SUPPORT INTERFACE SOFTWARE FOR PROPERTY VALORIZATION SYSTEM
DEVELOPING A DECISION SUPPORT INTERFACE SOFTWARE FOR PROPERTY VALORIZATION SYSTEM
Author(s): İlhan Tarımer, Simona Grigaliūnienė, Zubair TahirSubject(s): National Economy, Marketing / Advertising, ICT Information and Communications Technologies
Published by: Lietuvos verslo kolegija
Keywords: Property valuation; Decision support system (DSS); Machine learning; AI Models; Real estate; Market trends;
Summary/Abstract: The real estate industry frequently faces challenges in achieving accurate property valuations, a crucial factor in property transactions. Evaluating commercial real estate tenants is crucial for various stakeholders in the real estate industry, such as property owners, investors, lenders, and property managers. Due to the challenges, this study aims to present a novel Decision Support (DS) software developed to address those challenges by integrating both front-end and back-end systems for seamless, data-driven property assessments. DSS can play a critical role in ensuring accurate property valuations – a key aspect of real estate transactions that often relies on outdated or static data. While the front-end side offers an intuitive interface for users to input property data and receive near-instant results, the back-end side is powered by advanced machine learning algorithms to process this information efficiently. This dual system can ensure that users not only receive accurate valuations but also benefit from a seamless and intuitive user experience. In this paper, we outline the development process, the technologies which we have used, and the evaluation methods which was applied to ensure that the DSS is reliable and effective. The Decision Support System’s software for property valorization was developed through comprehensive and multi-stage processes. This system not only enhances the accuracy of valuations but also streamlines the overall decision-making process. The DSS addresses several key challenges in property valuation, including fluctuating market conditions and the complexities of data interpretation. Its scalable design and the continuous learning capabilities of its AI models ensure that the system remains relevant and accurate as market dynamics change. The development of the Decision Support Software (DSS) for property valorization represents a significant step forward in real estate technology. The software’s ability to provide accurate, real-time valuations, combined with its user-friendly interface and detailed market insights, positions it as a valuable tool for real estate professionals, investors, and regulators alike.
Journal: VADYBA
- Issue Year: 42/2026
- Issue No: 1
- Page Range: 73-84
- Page Count: 12
- Language: English
