The company proposes the design and development of a new intelligent system capable of automatically generating predictive scenarios on customer audiences based on their behavior in different channels (360º).

With the real-time processing of these predictive models, the aim is to obtain automatic suggestions of customer audiences (subsets of the total number of customers that meet certain common characteristics that would be difficult to infer with human processing) and offer them through an Expert Audiences module to that can be used as “target customers” to whom to direct any of the platform’s services: cashback programs, promotions, coupons, gift cards, raffles, etc.

This solution will be based on a wharehouse+datalake data model that allows the agile exploitation and connection of models and algorithms based on Machine Learning and Deep Learning techniques capable of automatically generating predictive scenarios on customer audiences based on their omnichannel behavior.

This project is carried out with financing from the CDTI.