Speaker
Tomáš Martinovič
(IT4Innovations, VŠB - Technical University of Ostrava)
Description
**Abstract**
We present automated application of inventory optimization based on sales forecast. Inventory stock optimization is very required issue by companies recent years, however inventory models are based on the sales expectation. Therefore, the problem of optimizing inventory stock is divided into two parts, sales forecast and setting optimal inventory. We describe an automated solution to model selection for sales forecast and the inventory setting based on those predictions. In the end, we present our validation of the system through historical simulation. We compare simulations results against real inventory levels. Due to the large number of different length time series, this simulation was run in parallel on cluster and was parallelized in R. The algorithms were developed and tested on inventory time series from real data sets of the K2 atmitec company.
**Keywords:** inventory optimization, sales forecasting, model selection, parallelization
Primary authors
Dr
Jan Martinovič
(IT4Innovations, VŠB - Technical University of Ostrava)
Dr
Kateřina Janurová
(IT4Innovations, VŠB - Technical University of Ostrava)
Dr
Kateřina Slaninová
(IT4Innovations, VŠB - Technical University of Ostrava)
Tomáš Martinovič
(IT4Innovations, VŠB - Technical University of Ostrava)
