IDEAS home Printed from https://ideas.repec.org/a/spr/flsman/v33y2021i1d10.1007_s10696-019-09368-1.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10696-019-09368-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10696-019-09368-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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. 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.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abdelaziz, Fouad Ben & Maddah, Bacel & Flamand, Tülay & Azar, Jimmy, 2024. "Store-Wide space planning balancing impulse and convenience," European Journal of Operational Research, Elsevier, vol. 312(1), pages 211-226.
    2. Page, Bill & Trinh, Giang & Bogomolova, Svetlana, 2019. "Comparing two supermarket layouts: The effect of a middle aisle on basket size, spend, trip duration and endcap use," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 49-56.
    3. Pascucci, Federica & Nardi, Lorenzo & Marinelli, Luca & Paolanti, Marina & Frontoni, Emanuele & Gregori, Gian Luca, 2022. "Combining sell-out data with shopper behaviour data for category performance measurement: The role of category conversion power," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    4. Larsen, Nils Magne & Sigurdsson, Valdimar & Breivik, Jørgen & Orquin, Jacob Lund, 2020. "The heterogeneity of shoppers’ supermarket behaviors based on the use of carrying equipment," Journal of Business Research, Elsevier, vol. 108(C), pages 390-400.
    5. Ferracuti, N. & Norscini, C. & Frontoni, E. & Gabellini, P. & Paolanti, M. & Placidi, V., 2019. "A business application of RTLS technology in Intelligent Retail Environment: Defining the shopper's preferred path and its segmentation," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 184-194.
    6. Wikstrom, Solveig & Carlell, Camilla & Frostling-Henningsson, Maria, 2002. "From real world to mirror world representation," Journal of Business Research, Elsevier, vol. 55(8), pages 647-654, August.
    7. Milica Mormann & Tom Griffiths & Chris Janiszewski & J. Edward Russo & Anocha Aribarg & Nathaniel J. S. Ashby & Rajesh Bagchi & Sudeep Bhatia & Aleksandra Kovacheva & Martin Meissner & Kellen J. Mrkva, 2020. "Time to pay attention to attention: using attention-based process traces to better understand consumer decision-making," Marketing Letters, Springer, vol. 31(4), pages 381-392, December.
    8. Nils Engelbrecht & Tim-Benjamin Lembcke & Alfred Benedikt Brendel & Kilian Bizer & Lutz M. Kolbe, 2021. "The Virtual Online Supermarket: An Open-Source Research Platform for Experimental Consumer Research," Sustainability, MDPI, vol. 13(8), pages 1-25, April.
    9. Rik Pieters & Michel Wedel, 2012. "Ad Gist: Ad Communication in a Single Eye Fixation," Marketing Science, INFORMS, vol. 31(1), pages 59-73, January.
    10. Mosteller, Jill & Donthu, Naveen & Eroglu, Sevgin, 2014. "The fluent online shopping experience," Journal of Business Research, Elsevier, vol. 67(11), pages 2486-2493.
    11. Hameed, Irfan & Soomro, Yasir, 2012. "Consumer Buying Behaviour; A Factor of Compulsive Buying Prejudiced by Windowsill Placement," MPRA Paper 57417, University Library of Munich, Germany.
    12. Martin, James & Nenycz-Thiel, Magda & Dawes, John & Tanusondjaja, Arry & Cohen, Justin & McColl, Bruce & Trinh, Giang, 2020. "Fundamental basket size patterns and their relation to retailer performance," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    13. Ostermeier, Manuel & Düsterhöft, Tobias & Hübner, Alexander, 2021. "A model and solution approach for store-wide shelf space allocation," Omega, Elsevier, vol. 102(C).
    14. van Schie, Ron J.G. & Donkers, Bas & Dellaert, Benedict G.C., 2012. "Savings adequacy uncertainty: Driver or obstacle to increased pension contributions?," Journal of Economic Psychology, Elsevier, vol. 33(4), pages 882-896.
    15. Ladeira, Wagner Junior & Dalmoro, Marlon & de Oliveira Santini, Fernando & Ruffatto, Juliane & Zanoni, Roberto, 2021. "More bodily motor action, less visual attention: How supermarket stimuli and consumer-related factors influence gaze behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    16. Trinh, Giang & Wright, Malcolm J., 2022. "Predicting future consumer purchases in grocery retailing with the condensed Poisson lognormal model," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    17. Tonia Ruppenthal, 2023. "Eye-Tracking Studies on Sustainable Food Consumption: A Systematic Literature Review," Sustainability, MDPI, vol. 15(23), pages 1-32, November.
    18. Bradlow, Eric T. & Gangwar, Manish & Kopalle, Praveen & Voleti, Sudhir, 2017. "The Role of Big Data and Predictive Analytics in Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 79-95.
    19. Stephan Seiler & Song Yao, 2017. "The impact of advertising along the conversion funnel," Quantitative Marketing and Economics (QME), Springer, vol. 15(3), pages 241-278, September.
    20. Trinh, Giang & Dawes, John, 2020. "A comparison of brand loyalty between on the go and take-home consumption purchases," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:flsman:v:33:y:2021:i:1:d:10.1007_s10696-019-09368-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.