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Product life cycle in convenience stores

, , , and . Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)

Abstract

We have a big database of point of sale for one of the major convenience-store chain in Japan. We can observe who bought what, where, when by using the database. We focus on a product life cycle. Generally, the cycle is surprisingly short. For example, sale of about 65\% product of rice balls is discontinued within three months. We show that the cycle depends on a number of repeat customers. Fig.1 shows time series of market share. Both products are plum rice balls. The product A has been bought since the release date t=40. However, the market share of the product B was immediately lost after the release date t=25. In order to investigate a difference between the product A and B, we introduce a conditional probability, P$_k$(N$_i,t$=1$$N$_i,t - 1$=1). Here, N$_i,t$ is 1 when a customer i buy a product k in t-th shopping of rice ball. Therefore, P$_k$(N$_i,t$=1$$N$_i,t - 1$=1) expresses a probability that the product k is chosen continuously. The product A with long life cycle indicates a high probability, P$_A$(N$_i,t$=1$$N$_i,t - 1$=1)=0.5. However, the product B with short life cycle expresses a low probability, P$_B$(N$_i,t$=1$ $N$_i,t - 1$=1)=0.2. As shown in Fig.2 we can find that there is a correlation between the life cycle $$ and the probability $łeft P \right_ $. In this conference, we show the probability in more detail and describe it by applying Logit model.

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