Reference Point of Sale Model
Through the use of advanced Machine Learning models, we generate a recommendation of reference POS with a greater probability of success.
Various Machine Learning models are used that, based on external attributes, can estimate the sales behavior that the store that will open in that geographical position will have.
This model aims to:
Improve decision making and increase the probability of assigning a successful reference POS to a new and more successful POS.
Answer the questions:
What point of sale do we rely on for the allocation of workforce?
What point of sale do we rely on for the allocation of the sales floor?
On which point of sale do we base ourselves for the allocation of Stock and sales goals?