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Open Access Journal Article

Spatial Analytics for Retail Store Location Planning

by Michael Thomas 1,*
1
Michael Thomas
*
Author to whom correspondence should be addressed.
MAD  2023 5(1):41; https://doi.org/10.69610/j.mad.20230612
Received: 20 April 2023 / Accepted: 25 May 2023 / Published Online: 12 June 2023
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Abstract

The aim of this paper is to explore the application of spatial analytics in the field of retail store location planning. Retailers face the critical challenge of selecting optimal locations for their stores to maximize profitability and market share. By leveraging spatial analytics, these retailers can make data-driven decisions that account for various geographical, demographic, and competitive factors. This study examines the methodologies and tools available for spatial analysis, such as geographic information systems (GIS), distance analysis, and spatial interpolation techniques. The paper discusses how spatial analytics can help retailers identify potential high-demand areas, assess the competition landscape, and optimize their store network. Through case studies, the paper demonstrates the practical application of spatial analytics in retail, showcasing the benefits of this approach in improving store performance and customer satisfaction. Furthermore, the paper highlights the limitations and challenges of spatial analytics in retail store location planning, emphasizing the need for ongoing research and innovation in the field.

Keywords: Spatial analytics; Retail store location planning; Geographic information systems; Distance analysis; Market optimization.;
Copyright: © 2023 by Thomas. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Cite This Paper
APA Style
Thomas, M. (2023). Spatial Analytics for Retail Store Location Planning. Management Analytics and Decision, 5(1), 41. doi:10.69610/j.mad.20230612
ACS Style
Thomas, M. Spatial Analytics for Retail Store Location Planning. Management Analytics and Decision, 2023, 5, 41. doi:10.69610/j.mad.20230612
AMA Style
Thomas M. Spatial Analytics for Retail Store Location Planning. Management Analytics and Decision; 2023, 5(1):41. doi:10.69610/j.mad.20230612
Chicago/Turabian Style
Thomas, Michael 2023. "Spatial Analytics for Retail Store Location Planning" Management Analytics and Decision 5, no.1:41. doi:10.69610/j.mad.20230612

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ACS Style
Thomas, M. Spatial Analytics for Retail Store Location Planning. Management Analytics and Decision, 2023, 5, 41. doi:10.69610/j.mad.20230612
AMA Style
Thomas M. Spatial Analytics for Retail Store Location Planning. Management Analytics and Decision; 2023, 5(1):41. doi:10.69610/j.mad.20230612
Chicago/Turabian Style
Thomas, Michael 2023. "Spatial Analytics for Retail Store Location Planning" Management Analytics and Decision 5, no.1:41. doi:10.69610/j.mad.20230612
APA style
Thomas, M. (2023). Spatial Analytics for Retail Store Location Planning. Management Analytics and Decision, 5(1), 41. doi:10.69610/j.mad.20230612

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