Through the use of Machine Learning models, we generate a recommendation of groups or clusters of stores that have a similar identity to optimize the assortment of products that are displayed in the different points of sale, according to the group or cluster to which it belongs to.
This model aims to:
Improve the merchandise assortment process.
Efficiency in the capacity allocation process.
Support for decision making.