Auto-Owners Insurance is a Fortune 500 company headquartered in Lansing, Michigan. Auto-Owners is represented by 48,000 licensed insurance agents in 26 states and provides insurance to nearly 6 million policyholders.

As a major insurance company, Auto-Owners employs around 6,000 associates across a wide array of positions and locations. As such, there are often employees who are ready for promotion or who need to be relocated.

Auto Owners currently uses an existing system to identify these individuals based on certain criteria. However, manually analyzing and updating the current system is a complex and tedious task, making the process needlessly labor-intensive and time-consuming.

Our Next Step Insight is a web application that significantly reduces the time needed to review possible candidates by filtering employees based on specified criteria. It utilizes a machine learning model to automatically recommend candidates who are a good match for the selected operation based on their employee summary.

Users start by selecting a position that needs to be filled, along with any filters to apply to the search. Our software eliminates potential candidates that do not align with the search criteria and highlights the employees that the machine learning model recommends for the job.

Our website decreases the time that the Human Resources department needs to spend organizing potential candidates’ details, enabling them to more efficiently compare candidates. This gives Auto-Owners the ability to fill available roles quickly so they can continue to have a capable and well-staffed team.

The front end of our application is built with HTML, CSS and TypeScript, while the back end is implemented with Spring Boot 3. The data for our application is stored in a Microsoft SQL database.