Presentation 2004/10/12
Identification of time-dependent and -independent factors based on decomposition of daily sales of a restaurant
Tomoyuki HIGUCHI,
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Abstract(in English) Daily sales of a catering establishment is affected by several factors: A day of the week, national holidays, weather, events taken place near the site, etc. Therefore, it is no doubt beneficial to make a model decomposing a time series of the sales into such factors. Then the model allows us to predict the future sales with a good accuracy in order to plan various levels of management strategies such as purchase, staff assignments, new store openings, etc. In this study, we have proposed a prediction method for daily sales of a catering establishment based on a state space model framework in which an optimal model chosen by an information criterion; we have applied it to daily sales data for two years of a restaurant which is adjacent to a large-scale convention center and office buildings.
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Keyword(in English) state space model / marketing / knowledge discovery / daily sales of a restaurant
Paper # NC2004-75
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Committee NC
Conference Date 2004/10/12(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Identification of time-dependent and -independent factors based on decomposition of daily sales of a restaurant
Sub Title (in English)
Keyword(1) state space model
Keyword(2) marketing
Keyword(3) knowledge discovery
Keyword(4) daily sales of a restaurant
1st Author's Name Tomoyuki HIGUCHI
1st Author's Affiliation Research Organization of Information and Systems, The Institute of Statistical Mathematics()
Date 2004/10/12
Paper # NC2004-75
Volume (vol) vol.104
Number (no) 349
Page pp.pp.-
#Pages 5
Date of Issue