Humana is a Fortune-500 health insurance company that provides their products and services to over thirteen million US customers. They seek to go beyond simply being a provider by empowering their members to live healthy, active and rewarding lives.

Providing over 40,000 employees with the technology they need presents a significant challenge for the End-User Technology Department to overcome. Their goal for 2019 is to increase the accessibility of computer peripherals and to improve the process of procuring stock.

To this end, we developed a web application that predicts the future demand of various peripherals based on past purchase history. With these tools, purchasers can make well-informed decisions about which items are needed the most.

The application learns over time as new purchases are registered and shows how these purchases differ from past trends. This allows users to see how demand shifts over time.

Additionally, users can input large quantities of data all at once by uploading a .csv file. This way, new sources of data can be incorporated into the system quickly and efficiently.

Users can also see the purchase history by itself in order to make judgements based on both data and their own experiences. In this way, the application does not supersede the user, but instead enables them to make better decisions quicker.

Django is used to host the backend of the web application. The data is stored using PostgreSQL.