Kharazmi University International Journal of Supply and Operations Management 23831359 10 1 2023 02 01 Demand Models For Supermarket Demand Forecasting 89 104 2895 10.22034/ijsom.2022.109044.2145 EN Ulrich Kerzel Department of IT and technology, IU international University of applied sciences, Erfurt, Germany 0000-0002-4939-6726 Journal Article 2021 04 09 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 a<br />strong preference for a weekly shopping trip. Stochastic demand Demand Model Poisson Negative Binomial http://www.ijsom.com/article_2895_b6f1d1f42c43c1b0d8a248f1973db3dc.pdf