While solutions exist for collecting and processing data from a structure, these often have limited processing power and do not allow for accurate and rapid analysis of stocks.
The Verteego solution allows, thanks to machine learning, to quickly identify customer behavior at the point of sale. By identifying trigger products and their frequency of purchase, Verteego is able to predict stocks accurately.
Thanks to better stock forecasting, Verteego allows a better product availability on the shelf.
Verteego platform enables the generation of more accurate replenishment forecasts for slow-moving items.
Machine learning, thanks to its multiplied computing speed, allows correlating data that do not appear to be linked together.