IDENTIFICATION OF A POTENTIAL PRODUCT SALES AREA

The article considers various approaches to determining the potential sales zone of products (goods, works, services). Along with the classical approach, which is illustrated using various methods for determining the costs of making a purchase (travel by various modes of transport), the author’s approach is considered, which allows determining the corresponding sales zone based on the use of geographic information systems and elementary mathematical calculations based on geometric constructions. In particular, using the cosine theorem and a map obtained from any geographic information system, the boundaries of the potential sales zone for two stores are determined. The proposed model can be easily scaled to the case with various other factors (except distance) that affect the result.

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Publication Details

Journal
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Published
2025-01-01
DOI
https://doi.org/10.36871/ek.up.p.r.2025.02.14.005
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

IDENTIFICATION OF A POTENTIAL PRODUCT SALES AREA

Ilya A. Slobodnyak, Polina V. Antipina
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Big Data and Business Intelligence
article

IDENTIFICATION OF A POTENTIAL PRODUCT SALES AREA

Ilya A. Slobodnyak, Polina V. Antipina
article en

Abstract

The article considers various approaches to determining the potential sales zone of products (goods, works, services). Along with the classical approach, which is illustrated using various methods for determining the costs of making a purchase (travel by various modes of transport), the author’s approach is considered, which allows determining the corresponding sales zone based on the use of geographic information systems and elementary mathematical calculations based on geometric constructions. In particular, using the cosine theorem and a map obtained from any geographic information system, the boundaries of the potential sales zone for two stores are determined. The proposed model can be easily scaled to the case with various other factors (except distance) that affect the result.

EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYAVol. 2/14(155)
Openalex Percentile: Top 90%
Big Data and Business Intelligence
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