Assesing the frequency and clauses of out-of-stock events through store scanner data

Anne-Sophie Bayle-Tourtoulou (), Gilles Laurent () and Sandrine Macé ()

No 830, HEC Research Papers Series from HEC Paris

Abstract: This paper aims to provide an answer to the question of out-of-stock events (OOS), their frequency, the sales losses they generate, and their causes. The authors provide two contributions. They describe a new sales-based measure of OOS computed on the basis of store-level scanner data and identify several of the main determinants of OOS. They also introduce a significant distinction between complete and partial OOS

Keywords: out-of-stock events; store-level scanner data; assortment; retailing; marketing metrics (search for similar items in EconPapers)
JEL-codes: L11 L16 L21 (search for similar items in EconPapers)
Pages: 47 pages
Date: 2006-01-01
New Economics Papers: this item is included in nep-mkt
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Persistent link: https://EconPapers.repec.org/RePEc:ebg:heccah:0830

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