Desiciones basadas en datos AyGLOO - Explainable AI

Dive Into the New Age of Artificial Intelligence 

Data-driven decisions with Machine Learning

The most traditional advanced analytics and machine learning techniques can

support you to make the best decisions based on data extracting insights with supervised (for decision making) and unsupervised (for clustering and data matching) machine learning models to drive you to improve your sales, productivity, finance and/or image.

The differential value of AyGLOO lies in its ability to include explainability and NLP in the analysis (for example, incorporating unstructured data sources or semantic analysis).

  1. Customer segmentation

  2. Forecasting

  3. Cross selling

  4. Churn prediction

  5. Marketing Campaigns design

  6. Behavior pattern discovery

  7. Health / Hospitalization prediction and other hospital key factors

  8. Manufacturing / Production quality

  9. High quality images analysis

Planning and optimization with Reinforcement Learning

Reinforcement Learning is a very powerful AI technique which allows for complex problems solving. Emulating the animal brain, reinforcement learning models decide the action to take based on reward-punishment model.

​Reinforcement learning is especially useful in problems involving planning and optimization

  1. Customer life-time value (CLV) Optimization

  2. Digital marketing / Selection by customer profile

  3. Online product recommendation / individual or clusters

  4. Custom pricing adjustments /last minute offers

  5. Customer segment description

  6. Sequential RL learns strategies and planning over time

  7. Customer journey

  8. Resource Planning and optimisation

  9. Investment fund management

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