{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T16:32:09Z","timestamp":1770741129517,"version":"3.49.0"},"reference-count":9,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2019,5,11]],"date-time":"2019-05-11T00:00:00Z","timestamp":1557532800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004569","name":"Ministerstwo Nauki i Szkolnictwa Wy\u017cszego","doi-asserted-by":"publisher","award":["Core Funding for Statutory Research and Development Activities"],"award-info":[{"award-number":["Core Funding for Statutory Research and Development Activities"]}],"id":[{"id":"10.13039\/501100004569","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/data4020067","type":"journal-article","created":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T11:00:57Z","timestamp":1557745257000},"page":"67","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Point of Sale (POS) Data from a Supermarket: Transactions and Cashier Operations"],"prefix":"10.3390","volume":"4","author":[{"given":"Tomasz","family":"Antczak","sequence":"first","affiliation":[{"name":"Department of Operations Research, Faculty of Computer Science and Management, Wroc\u0142aw University of Science and Technology, 50-370 Wroc\u0142aw, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1619-5239","authenticated-orcid":false,"given":"Rafa\u0142","family":"Weron","sequence":"additional","affiliation":[{"name":"Department of Operations Research, Faculty of Computer Science and Management, Wroc\u0142aw University of Science and Technology, 50-370 Wroc\u0142aw, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2019,5,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1016\/j.ejor.2017.07.003","article-title":"Retail store operations: Literature review and research directions","volume":"265","author":"Mou","year":"2018","journal-title":"Eur. J. Oper. Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/S0305-0548(02)00180-6","article-title":"A queueing control model for retail services having back room operations and cross-trained workers","volume":"31","author":"Bermana","year":"2004","journal-title":"Comput. Oper. Res."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Rossetti, M.D., and Pham, A.T. (2015, January 6\u20139). Simulation modeling of customer checkout configurations. Proceedings of the 2015 Winter Simulation Conference, Huntington Beach, CA, USA.","DOI":"10.1109\/WSC.2015.7408241"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"767","DOI":"10.19030\/jabr.v33i4.9998","article-title":"Analysis on the effect of express checkouts in retail stores","volume":"33","author":"Kwak","year":"2017","journal-title":"J. Appl. Bus. Res."},{"key":"ref_5","first-page":"1","article-title":"Evaluating the potential of agent-based modelling to capture consumer grocery retail store choice behaviours","volume":"28","author":"Sturley","year":"2017","journal-title":"Int. Rev. Retail Distrib. Consumer Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1257\/aer.99.1.112","article-title":"Peers at work","volume":"99","author":"Mas","year":"2009","journal-title":"Am. Econom. Rev."},{"key":"ref_7","unstructured":"Musalem, A., Olivares, M., and Schilkrut, A. (2016). Retail in high definition: Monitoring customer assistance through video analytics. Columbia Bus. Sch. Res. Pap."},{"key":"ref_8","first-page":"60","article-title":"There\u2019s more to a line than its wait","volume":"91","author":"Larson","year":"1988","journal-title":"Tech. Rev."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Cizek, P., H\u00e4rdle, W., and Weron, R. (2011). Statistical Tools for Finance and Insurance, Springer. [2nd ed.].","DOI":"10.1007\/978-3-642-18062-0"}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/4\/2\/67\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:51:09Z","timestamp":1760187069000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/4\/2\/67"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,11]]},"references-count":9,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2019,6]]}},"alternative-id":["data4020067"],"URL":"https:\/\/doi.org\/10.3390\/data4020067","relation":{},"ISSN":["2306-5729"],"issn-type":[{"value":"2306-5729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5,11]]}}}