Sales Spotter: An Algorithm to Identify Sale Prices in Point-of-Sale Data

Iqbal Syed ()

No 2015-13, Discussion Papers from School of Economics, The University of New South Wales

Abstract: This paper develops an algorithm, called the sales spotter, which identifies the sale prices in the transaction price series provided in point-of-sale data. The goal of the sales spotter is to identify the maximum number of sale prices while minimizing the incorrect attribution of non-sale price reductions to sale prices. The spotter is developed and the values of its parameters are selected by analysing around 7.5 million agged sales in a US supermarket scanner data. At the optimal values of the parameters, the spotter identifies 84% of authentic agged sale weeks in the data.

Keywords: Promotional price; regular price; shelf price; sales filter; scanner data (search for similar items in EconPapers)
JEL-codes: E30 M37 (search for similar items in EconPapers)
Pages: 33 pages
Date: 2015-06
New Economics Papers: this item is included in nep-hme and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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