Artificial Intelligence Solutions

Get your processes to improve autonomously through solutions that adopt Artificial Intelligence and Machine Learning.

Artificial Intelligence adapts to your needs

Solutions based on Artificial Intelligence are capable of performing tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making and translation between languages. These solutions learn from experience, make autonomous decisions and evolve without human intervention.

Artificial intelligence works by combining large amounts of data with fast and iterative processing and intelligent algorithms, allowing automatic learning from patterns or characteristics in the data.

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Artificial Intelligence Solutions

Intelligent processes that learn from experience

Customer Segmentation

Customer Segmentation

Identify and segment your customers in order to create a personalized experience, tailored to the needs and tastes of each one of them.

Thanks to an intelligent classification of clients, we can focus the marketing and commercial strategies in an effective and objective way, based on data, similarities, etc., optimizing the company's internal resources for recruitment and loyalty, among others.

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Analytical Models

Analytical Models

We create the appropriate analytical models for your use cases, using Machine learning and Deep learning techniques and algorithms. These learning techniques focus on the identification of complex patterns in millions of data (Big Data). Processes learn by reviewing and analyzing data and are capable of predicting patterns, that is, future behaviors. Defining these behaviors allows decision-making with minimal human intervention.

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Propensity

Propensity

The propensity models estimate the probability that a customer has to contract a certain product within a certain period, given the type of customer, the relationship with the company, the financial behavior and the geographical location. Solutions aimed at solving use cases such as: customer churn, cross-selling or the propensity to commit fraud.

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Prediction

Prediction

Through prediction models, your processes will be able to identify models between complex data systems, draw conclusions from them and predict future behaviors automatically; for example: demand prediction, price estimation, recommendation systems, etc.

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