Decision Support System for the Location of Retail Business Stores

Naysha Loo, Carlos Hernandez, David Mauricio

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationAdvances and Applications in Computer Science, Electronics and Industrial Engineering - Proceedings of CSEI 2020
EditorsMarcelo V. García, Félix Fernández-Peña, Carlos Gordón-Gallegos
PublisherSpringer Science and Business Media Deutschland GmbH
Pages67-78
Number of pages12
ISBN (Print)9789813345645
DOIs
StatePublished - 2021
EventInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2020 - Ambato, Ecuador
Duration: 26 Oct 202030 Oct 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1307 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2020
Country/TerritoryEcuador
CityAmbato
Period26/10/2030/10/20

Bibliographical note

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

Keywords

  • Business analytics
  • Decision support system
  • Location
  • Predictive
  • SAP analytics cloud
  • Site retail selection

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