You are tasked with designing a customized deep neural network using Keras to predict customer purchases based on their purchase history. Your goal is to explore the model performance by using multiple model architectures, store the training data, and be able to compare the evaluation metrics in a unified dashboard. Considering that you need a scalable solution that can organize and track multiple runs effectively, what should you do?