The AGGREGO AI platform employs a Supervised Learning approach for its data training model. In this model, the platform is trained on a pre-defined set of training examples, which then facilitate its ability to reach accurate conclusions when given new data. The model uses labeled datasets to learn from the features and applies this learning to new, unseen data. Over time, the model is continuously refined and updated based on the accuracy of its predictions and feedback, making it more reliable and efficient in its analysis and forecasts.