Spatial Consumer Flow Analysis and Product Placement Intelligence: Machine Learning Approaches to Retail Store Layout Optimisation

Authors

  • Tatsiana Stsebakhova Associate Professor of Computer Science, Belarusian State University

Keywords:

spatial consumer flow analysis, product placement intelligence, machine learning approaches to retail store layout optimisation

Abstract

Retail store layout optimization promises strategic value in ensuring an effective shopping environment. Store layouts can account for patterns of human behavior that manifest in consumer purchasing behaviors. The field of retail store layout has traditionally been dominated by intuition-based decisions. However, new technologies are reshaping how retail is conducted. New technology is providing new avenues of approach to help businesses influence consumer behavior.

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Published

30-06-2026

How to Cite

[1]
“Spatial Consumer Flow Analysis and Product Placement Intelligence: Machine Learning Approaches to Retail Store Layout Optimisation”, Blockchain Tech. & Distributed Sys., vol. 6, no. 1, pp. 10–17, Jun. 2026, Accessed: Jun. 05, 2026. [Online]. Available: https://www.thesciencebrigade.com/btds/article/view/864