%0 Journal Article
%T Demand Models For Supermarket Demand Forecasting
%J International Journal of Supply and Operations Management
%I Kharazmi University
%Z 23831359
%A Kerzel, Ulrich
%D 2023
%\ 02/01/2023
%V 10
%N 1
%P 89-104
%! Demand Models For Supermarket Demand Forecasting
%K Stochastic demand
%K Demand Model
%K Poisson
%K Negative Binomial
%R 10.22034/ijsom.2022.109044.2145
%X Model-based approaches remain an important option for modelling customer demand. While this approach allows to analyse demand using a model based on theoretical arguments, each choice of model is associated with specificĀ assumptions under which this model is valid. Customer demand in retail is typically modelled as a Poison-type process, in particular using a negative binomial distribution. Poisson-type processes are associated with an exponential inter-arrival time that describes the probability distribution between subsequent events. Using a public dataset from a largeĀ supermarket, the analysis of the data shows that while the general assumption of a Poisson process is reasonable, the purchasing behaviour strongly depends on the type of product. Additionally, customers in this supermarket show astrong preference for a weekly shopping trip.
%U http://www.ijsom.com/article_2895_b6f1d1f42c43c1b0d8a248f1973db3dc.pdf