UC Davis’s Koret Shelter Medicine Program aims to help shelters increase the number of animals they are able to process without wasting resources and while providing these animals with the best possible outcome for their situation. Working closely with the UC Davis Graduate School of Management professor Dr. David Woodruff, this practicum team is augmenting the mathematical optimization model through analytics tools. Using both data from existing animal shelters and simulating realistic data, we aim to build a robust unsupervised classification model through Machine Learning. In the meantime, the team is implementing the optimization model into a website hosted on AWS. With functions such as displaying personalized visualizations of analysis based on input data and giving suggestions using the optimization model, this website helps shelters manage their capacity.