Tips Predict Restaurant Sales

dc.contributor.author	Lynn, Michael
dc.contributor.author	Ukhov, Andrey D.
dc.date.accessioned	2020-09-10T15:27:15Z
dc.date.available	2020-09-10T15:27:15Z
dc.date.issued	2013-08-01
dc.description.abstract	An 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.description.legacydownloads	Lynn_202013_20Tips_20predict.pdf: 1401 downloads, before Aug. 1, 2020.
dc.identifier.other	6535267
dc.identifier.uri	https://hdl.handle.net/1813/71095
dc.language.iso	en_US
dc.rights	Required Publisher Statement: © Cornell University. This report may not be reproduced or distributed without the express permission of the publisher
dc.subject	sales forecasting
dc.subject	tipping
dc.subject	tip percentage
dc.title	Tips Predict Restaurant Sales
dc.type	article
local.authorAffiliation	Lynn, Michael: wml3@cornell.edu Cornell University
local.authorAffiliation	Ukhov, Andrey D.: au53@cornell.edu Cornell University

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