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dc.contributor.authorLynn, Michael
dc.contributor.authorUkhov, Andrey D.
dc.date.accessioned2020-09-10T15:27:15Z
dc.date.available2020-09-10T15:27:15Z
dc.date.issued2013-08-01
dc.identifier.other6535267
dc.identifier.urihttps://hdl.handle.net/1813/71095
dc.description.abstractAn analysis of seven years of monthly charge-card sales and tip data from a multi-regional restaurant chain in the United States found that tip percentages predicted food sales in the following month. Thus, restaurant executives, managers, and owners are encouraged to add tip percentages to their sales forecasting models.
dc.language.isoen_US
dc.rightsRequired Publisher Statement: © Cornell University. This report may not be reproduced or distributed without the express permission of the publisher
dc.subjectsales forecasting
dc.subjecttipping
dc.subjecttip percentage
dc.titleTips Predict Restaurant Sales
dc.typearticle
dc.description.legacydownloadsLynn_202013_20Tips_20predict.pdf: 1401 downloads, before Aug. 1, 2020.
local.authorAffiliationLynn, Michael: wml3@cornell.edu Cornell University
local.authorAffiliationUkhov, Andrey D.: au53@cornell.edu Cornell University


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