ApPello - Banking Software

A new era of AI-driven real estate appraisal

A recent study published in the Journal of European Real Estate Research titled “AI-driven valuation: a new era for real estate appraisal” projects a future where AI transforms property appraisals. The research highlights how AI-driven Automated Valuation Models (AVMs) and machine learning can significantly enhance accuracy and efficiency in valuations. It indicates the potential of machine learning to optimize real estate processes, emphasizing the need for precise analytics to deliver transparent and reliable property assessments - a shift that’s reshaping the fintech and proptech landscapes.

This perspective mirrors the core principles behind our Real Estate Valuator System as it integrates a great number of features to streamline and enhance the valuation process. But how exactly does this translate into practical benefits for real estate professionals?

Our Real Estate Valuator System is designed to offer a comprehensive solution for evaluating various property types, combining manual and automated procedures. With over 10 built-in workflows, from initial evaluation to detailed inspections, we empower users with 5 distinct valuation methodologies, including market value comparison, income approach, DCF, and cost-based analysis. This flexibility ensures precise results for diverse real estate assets.

The system manages everything from order placement to report generation, with customizable workflows and a built-in rule engine for efficient task assignment and SLA monitoring. It offers multiple valuation methods and parameter management for complex calculations, ensuring users have full control over the valuation process. It also tracks valuator details, competencies, and quality scores, with a rating system and blacklist/greylist management. Integration with Google Maps enhances location visualization and optimizes route planning for efficient inspections. Robust reporting tools, document management, and a dynamic template editor facilitate efficient communication, and omnichannel support enables efficient on-site inspections through mobile support, facilitating real-time data capture and communication.

By integrating advanced technologies like AI-driven analytics with comprehensive workflow management, our Real Estate Valuator System empowers professionals to achieve more accurate, efficient, and transparent property valuations.

ApPello x Kodesage

We had a fascinating session with Kodesage, delving deep into the challenges of maintaining enterprise systems within the fintech space.

Our team and Kodesage discussed solutions to a natural but annoying phenomenon in the IT industry. In the case of in-house developed software, typically used by large enterprises, many of them lack proper documentation of initial or later developments and updates down the line. This is a challenge because if someone intends to operate the program years later, but the original developer is no longer working in the company, they can only rely on the documentation left behind.

Initially such programs might seem groundbreaking, but over time these can also become out-of-date, finding specialists who are able to operate the older system becomes more difficult, maintenance costs increase and development cycles slow down.

A resolve to this issue can be a system which is able to generate documentation for an application even from scratch, significantly facilitating the work of anyone who needs to update or develop it without being present at the time of the original developments.

So, how does the implementation of Artificial Intelligence come into the picture?

To maintain enterprise systems handling sensitive code or data requires significant manual effort, where AI can assist, but must be cautiously implemented to avoid potential data leaks or misuse. Publicly available large language models can be reprogrammed to connect not to a public database, but to the company's internal systems, thus not only IT personnel who know programming languages, but also business analysts or product managers can understand more about the system. Companies can run such a system on their own servers, so sensitive information does not reach other servers on the world wide web.

“These programs and applications are like a house. After they are built, throughout the years residents come and go and the house is still functioning, but eventually you have to do maintenance and the person who laid the pipes and wires who knows where they are is no longer available,” György Szilàgyi explains with a relevant analogy. Kodesage offers a code navigation tool using artificial intelligence that drastically reduces the time it takes to find the problem, essentially guiding users to “where and how the pipes and wires are laid”. This is especially necessary in highly regulated industries where proper documentation is a legal requirement, such as banks or healthcare players.

Even with the right AI tool, maintaining enterprise systems can be a daunting task. This is why we are continuously exploring potential synergies and how we can continue to innovate in the fintech space and why we value connecting with companies pushing the boundaries of technology.

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