CSE498, Collaborative Design, Fall 2024
Computer Science and Engineering
Michigan State University

Urban Science is a leading global consulting firm headquartered in Detroit, Michigan that has provided tailored insights and solutions for the automotive industry worldwide since 1977. They leverage data and business science to help clients increase market share, improve profitability, and enhance customer satisfaction.

Automotive companies rely on Urban Science to make effective and efficient insights based on rapidly updating statistics. This helps them to increase their profitability in the competitive automotive industry. Urban Science is called upon to help these automotive dealers make decisions and strategize, but with constant data changes it can be difficult and time-consuming to give each company personal recommendations.

Our Predicting Automotive Sales Using Generative AI web application uses generative artificial intelligence to give recommendations to dealers based on automotive sales predictions, delivering analytics faster and easier than ever.

The Insight Portal web application interface has multiple data analysis pages. Users select options from four categories: brand, state, date and model, and receive a display of unique data pertaining to the options selected. Users also interact with the artificial intelligence model in the form of a chatbot to gain insights from the data on the fly.

The application displays data unique to automotive dealers statewide in several different forms, including traditional charts and graphs, and also an intuitive heat map. The application uses sales predictions data to create recommendations via our artificial intelligence model, encouraging improvement in profitability, market share, and customer satisfaction.

Our web application is built using React and Tailwind for the front end, MySQL for data storage, and C# and .NET framework for the back end. The software utilizes Azure cloud services for hosting.