Purpose:

• Proinlasa counts on Apara to maximize sales of a particular promotion.

Method:

• Proinlasa gave a report of data with all the actions performed by its commercial team, the characteristics of the houses offered and its promotions associated in the last years.
• Apara built, from the given data, a predictive model with dVelox which indicated the most suitable commercial to sell an apartment with its characteristics (number of rooms, size, storage room, location…) of a specific promotion.

Result:

• Apara developed a control panel that used the commercial optimization model to simulate scenarios minimizing the efforts devoted to each action and saving costs.