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Evaluating exposure of a retail rack layout in 3D

Author

Listed:
  • Bradley Guthrie

    (Wright State University)

  • Pratik J. Parikh

    (Wright State University)

Abstract

Analyzing a retail layout accounting for how a shopper visually interacts with racks along their shopping path can help the retailer identify hot-warm-cold spots and better allocate products to racks in order to maximize revenue. We focus on estimating exposure (which locations are likely to be seen) and the intensity of exposure (how long are they seen) by accounting for the dynamic interaction between the human 3D field of regard with a physical rack layout. Our quantitative approach allows us to analyze the effect of varying layout design parameters (i.e., rack orientation, curvature, and height) on exposure considering both unidirectional and bidirectional travel. We also validate our approach through human participants in a virtual layout. We observed that curving racks in a layout with racks oriented 90° (i.e., perpendicular to the aisle) increase exposure by 3–121% over straight racks. Further, orientating curved racks at acute angles leads to substantially higher exposure (18–321%) over straight racks at 90°. Moreover, racks with a height just below shopper eye-height results in higher exposure over racks just above eye-height when top surfaces are accounted for as exposed. Considering the trade-off between exposure and layout floor space, when given an allowable 25% increase in floor space, we found feasible layouts that increased exposure ranging from 15–530% (over straight racks at 90°) depending on shopper scanning pattern, layout size, and traffic direction.

Suggested Citation

  • Bradley Guthrie & Pratik J. Parikh, 2021. "Evaluating exposure of a retail rack layout in 3D," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 107-135, March.
    • Handle: RePEc:spr:flsman:v:33:y:2021:i:1:d:10.1007_s10696-019-09368-1
    DOI: 10.1007/s10696-019-09368-1
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    References listed on IDEAS

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    1. Sorensen, Herb & Bogomolova, Svetlana & Anderson, Katherine & Trinh, Giang & Sharp, Anne & Kennedy, Rachel & Page, Bill & Wright, Malcolm, 2017. "Fundamental patterns of in-store shopper behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 182-194.
    2. Mowrey, Corinne H. & Parikh, Pratik J. & Gue, Kevin R., 2018. "A model to optimize rack layout in a retail store," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1100-1112.
    3. Haluk Yapicioglu & Alice Smith, 2012. "Retail space design considering revenue and adjacencies using a racetrack aisle network," IISE Transactions, Taylor & Francis Journals, vol. 44(6), pages 446-458.
    4. Sam K. Hui & Peter S. Fader & Eric T. Bradlow, 2009. "—The Traveling Salesman Goes Shopping: The Systematic Deviations of Grocery Paths from TSP Optimality," Marketing Science, INFORMS, vol. 28(3), pages 566-572, 05-06.
    5. Janiszewski, Chris, 1998. "The Influence of Display Characteristics on Visual Exploratory Search Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 290-301, December.
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