Decision Support System for the Location of Retail Business Stores

Naysha Loo, Carlos Hernandez, David Mauricio

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)


Within the natural cycle of retail companies, there is the stage of expansion where one of the most critical and high impact processes is the process of selecting the location for new stores. So it is necessary to make the most appropriate decision, which allows in the medium and long term to have fewer risks and losses, and higher profits and sales. This work proposes a Decision Support System for the location of retail stores, which will provide entrepreneurs with available, updated, and relevant information on retail stores, public services, and influxes of people. In addition, the system allows to project and compare for two or more new store locations, the critical indicators: average monthly ticket, monthly influx, total monthly sale, demographic density, amount of competences. To validate the proposed system, 5 case studies were carried out on real stores in Lima, the results obtained for a 6-month projection show high precision in the projection of the indicators, reaching on average 98.64%, 97.29%, and 96.61% for the average ticket, the influx of customers and the total amount of sales, respectively.

Idioma originalInglés
Título de la publicación alojadaAdvances and Applications in Computer Science, Electronics and Industrial Engineering - Proceedings of CSEI 2020
EditoresMarcelo V. García, Félix Fernández-Peña, Carlos Gordón-Gallegos
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas12
ISBN (versión impresa)9789813345645
EstadoPublicada - 2021
Publicado de forma externa
EventoInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2020 - Ambato, Ecuador
Duración: 26 oct. 202030 oct. 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1307 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365


ConferenciaInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2020

Nota bibliográfica

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.


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