A STATISTICAL FRAMEWORK FOR ASSESSING SALES UPLIFT FROM RETAIL STORE LAYOUT CHANGES

Article presents a comprehensive framework for evaluating the impact of retail store layout changes on sales performance through advanced statistical methodologies.The article introduces a two-step matching algorithm for control store selection, incorporating multi-criteria decision-making frameworks and time series analysis.

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Journal
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Published
2025-01-28
DOI
https://doi.org/10.34218/ijrcait_08_01_062
Primary Topic
Advanced Statistical Process Monitoring
Type
article
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article

A STATISTICAL FRAMEWORK FOR ASSESSING SALES UPLIFT FROM RETAIL STORE LAYOUT CHANGES

V. S. Chandrasekaran
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Advanced Statistical Process Monitoring
article

A STATISTICAL FRAMEWORK FOR ASSESSING SALES UPLIFT FROM RETAIL STORE LAYOUT CHANGES

V. S. Chandrasekaran
article en

Abstract

Article presents a comprehensive framework for evaluating the impact of retail store layout changes on sales performance through advanced statistical methodologies.The article introduces a two-step matching algorithm for control store selection, incorporating multi-criteria decision-making frameworks and time series analysis.

INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGYVol. 8(1)
Target (United States) (US)
Openalex Percentile: Top 98%
Advanced Statistical Process Monitoring
DOIOpen Access PDFOpenAlex
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A STATISTICAL FRAMEWORK FOR ASSESSING SALES UPLIFT FROM RETAIL STORE LAYOUT CHANGES — V. S. Chandrasekaran · INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (2025) | TGRS Research Map | TGRS