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Point of Sale (POS) Data from a Supermarket: Transactions and Cashier Operations

Author

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  • Tomasz Antczak

    (Department of Operations Research, Faculty of Computer Science and Management, Wrocław University of Science and Technology, 50-370 Wrocław, Poland)

  • Rafał Weron

    (Department of Operations Research, Faculty of Computer Science and Management, Wrocław University of Science and Technology, 50-370 Wrocław, Poland)

Abstract

As queues in supermarkets seem to be inevitable, researchers try to find solutions that can improve and speed up the checkout process. This, however, requires access to real-world data for developing and validating models. With this objective in mind, we have prepared and made publicly available high-frequency datasets containing nearly six weeks of actual transactions and cashier operations from a grocery supermarket belonging to one of the major European retail chains. This dataset can provide insights on how the intensity and duration of checkout operations changes throughout the day and week.

Suggested Citation

  • Tomasz Antczak & Rafał Weron, 2019. "Point of Sale (POS) Data from a Supermarket: Transactions and Cashier Operations," Data, MDPI, vol. 4(2), pages 1-4, May.
    • Handle: RePEc:gam:jdataj:v:4:y:2019:i:2:p:67-:d:230336
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    References listed on IDEAS

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    1. Alexandre Mas & Enrico Moretti, 2009. "Peers at Work," American Economic Review, American Economic Association, vol. 99(1), pages 112-145, March.
    2. Mou, Shandong & Robb, David J. & DeHoratius, Nicole, 2018. "Retail store operations: Literature review and research directions," European Journal of Operational Research, Elsevier, vol. 265(2), pages 399-422.
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    Cited by:

    1. Paul M. Torrens, 2023. "Agent models of customer journeys on retail high streets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(1), pages 87-128, January.
    2. Taku Moriyama & Masashi Kuwano, 2022. "Causal inference for contemporaneous effects and its application to tourism product sales data," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 250-260, September.
    3. Yudong Wang & Yanlin Tang & Zhi‐Sheng Ye, 2022. "Paired or partially paired two‐sample tests with unordered samples," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(4), pages 1503-1525, September.

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