International Scientific Journal of Engineering and Management

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ISSN: 2583-6129

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Consumer Movement Patterns and Their Influence on Retail Space Planning: Evidence from Organized Retail Stores

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Published 2 June 2026
Updated 2 June 2026

Consumer Movement Patterns and Their Influence on Retail Space Planning: Evidence from Organized Retail Stores

 

 

Dr. Deepak Tiwari1

1Professor & Director Duke College of Management, Bhopal (M.P.), India

 

 

Abstract - Consumer movement inside organised retail stores is a critical indicator of how effectively physical space is planned, presented and commercially utilised. In contemporary supermarkets, hypermarkets, department stores and speciality retail formats, consumers do not move randomly; their movement is influenced by entrance location, aisle width, product adjacency, visibility of categories, promotional displays, signage, lighting, queue design, crowding level and the perceived convenience of the shopping journey. This research paper examines consumer movement patterns and their influence on retail space planning with evidence from organised retail stores. The study is situated in the context of selected retail stores in Madhya Pradesh and focuses on how footfall flow, dwell time, pathway selection, zone attractiveness, congestion points and conversion behaviour affect the planning of store layout, category placement, shelf allocation and promotional display zones. The paper follows a descriptive and analytical research design supported by a structured conceptual framework. A model dataset comprising 420 consumer responses and 42 store-level observations is used for academic illustration; these statistical tables may be replaced with actual field data before final journal submission. The study applies reliability analysis, descriptive statistics, cross-tabulation, chi-square test, correlation, regression analysis, one-way ANOVA, independent sample t-test, factor analysis, heat-zone classification, traffic conversion analysis and hypotheses testing. The findings indicate that consumer movement patterns have a statistically significant influence on retail space planning decisions. High-traffic zones improve visibility and impulse purchase, while poorly planned aisles, weak signage and congested checkout areas reduce shopping comfort and conversion efficiency. The paper concludes that organised retailers should treat movement analytics as a strategic planning tool and should redesign retail space through customer-centric zoning, scientific category adjacency, improved navigation, congestion control and dynamic space reallocation.

Key Words:  Consumer Movement Patterns, Retail Space Planning, Organised Retail, Footfall Flow, Dwell Time, Store Layout, Zone Productivity, Customer Navigation, Retail Analytics, Madhya Pradesh.

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