The ISF2019 took place in Thessaloniki, Greece. This time I presented a spin-off of my research on intermittent demand in retail, entitled as “What about those sweet melons? Using mixture models for demand forecasting in retail”. The idea is quite trivial and simple: use mixture distribution regressions (e.g. logistic and log-normal distributions) in order to predict the seasonally-intermittent sales in retail. The model is quite simple and easy to implement in practice. The main problem that I’ve faced so far is the absence of the proper data. I only had 24 series of weekly sales of tomatoes provided by a small company, but I need more in order to see, which of the approaches works best. For this research, I need the data like this:
Anyway, here are the slides if anyone wants to have a look.