| Issue |
E3S Web Conf.
Volume 376, 2023
International Scientific and Practical Conference “Environmental Risks and Safety in Mechanical Engineering” (ERSME-2023)
|
|
|---|---|---|
| Article Number | 05030 | |
| Number of page(s) | 10 | |
| Section | V Socio-cultural, Political, Economic, and Legal Issues Related to Environmental Stewardship | |
| DOI | https://doi.org/10.1051/e3sconf/202337605030 | |
| Published online | 31 March 2023 | |
Comparative analysis of digital services and their impact on the trade segment development
Peter the Great St. Petersburg Polytechnic University, 29, Polytechnicheskaya str., 195251 St. Petersburg, Russia
* Corresponding author: kafedra17@rambler.ru
Modern technologies have penetrated into all spheres of human life. At the same time, digital technologies continue to develop at a rapid pace, some areas of activity have achieved high rates in the introduction and application of modern technologies. Digital platforms can be used by all participants in the real estate market. Services are actively used and developed that simplify the interaction between the developer, the buyer and banks, constructors to strengthen developers’ websites, technologies for construction and real estate management, services for appraising an apartment, obtaining a mortgage, legal support, checking debts, encumbrances and history of an apartment, tools for remote demonstration of objects. The ability to use, compare, choose the most appropriate service for a specific request is relevant in modern conditions. The aim of the work is to compare digital services in the field of real estate and make a forecast for the development of the retail segment. The work used the method of comparing the characteristics of the objects of study, correlation and regression analysis. As a result of the study, a sales price forecast for the retail segment was determined and the most informative digital platform in the real estate industry was identified.
Key words: digital platforms / commercial real estate / advantages of digital platforms / correlation and regression analysis / modern technologies
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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