Name
Abstract | ||
|---|---|---|
the research is devoted to the problem of forecasting the financial attractiveness of new brick-and-mortar grocery store openings. The methodology of financial metrics evaluation is proposed. The paper presents an approach for the probability of the project’s financial success assessment using machine learning methods. Grocery retail chains can implement the approach presented in research as an alternative to financial modeling for early-stage project valuation. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/ACIT54803.2022.9913157 | 2022 12th International Conference on Advanced Computer Information Technologies (ACIT) |
Keywords | DocType | ISSN |
investment project valuation,financial modeling,grocery retail,machine learning,forecasting financial metrics,business development | Conference | 2770-5218 |
ISBN | Citations | PageRank |
978-1-6654-6647-9 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bohdan Yakymchuk | 1 | 0 | 0.34 |
| Olena Liashenko | 2 | 0 | 0.34 |