Artificial intelligence will have profound effects on many industries, from business to travel to healthcare. But it’s easy to get excited about the tech and lose sight of the problems people need help solving.
At GoodRx, our teams are looking at ways we can leverage advances in AI and machine-learning to solve real problems for consumers and our partners.
That’s why GoodRx’s product development team participated in a hackathon last month centered on AI-based projects that could solve healthcare challenges such as:
Predicting what kind of content, reminders, and prices that will give a person the best possible chance of adhering to their medication regimen
Answering people’s questions faster about their conditions and medications given our content and unique insights
Making it easier for people to get the best possible medication price at the most convenient location by scanning their medication labels
Employees from our Santa Monica, New York City, and San Francisco offices, as well as remote hubs in Seattle and Austin, explored these ideas in a 2-day sprint. Thanks to partners from Google AI and fellow GoodRxers from other teams, and using tools like Open AI, Vertex AI, and Google Cloud A, more than a dozen teams created their AI-centered demos.
The diversity and quality of these demos after such a short time was a testament to the ingenuity of our employees. Projects ranged from using AI to identify users most at risk of disengaging with our products to creating a chatbot to help our customers find the answers and products they need.
Despite an amazing array of ideas, a few ideas stood out for our judges.
AI-driven pricing platform: This project integrated AI into our pricing platform to streamline our medication pricing strategy. With it, we can improve price quality for our consumers and pharmacy partners.
Good GPT: The Good GPT Slackbot is an innovative AI-powered Slack application that leverages natural language processing and machine learning to answer frequently asked questions posed on our Slack channels. This tool can not only streamline internal communications, but can also help regain the time and money wasted by changing tasks to answer these questions.
Scan drug & search: This feature allows users to scan their medication labels to more easily find coupons for their medication. This can help improve the consumer experience by reducing price discrepancies that may occur when a coupon is created for a different dosage or quantity than the consumer’s prescription.
Predictive analytics for churn prevention: This tool can detect when a customer seems likely to disengage with our products. With this information, we can take a more empathetic and personalized approach to retaining these customers.
Automated design polish: This plug-in makes it easier for designers and engineers to find and build off of existing design components. With it, they can avoid redesigning or rebuilding a component that already exists, saving valuable time and energy.
Beyond creating incredible projects, the hackathon allowed GoodRxers a chance to flex their creative muscles and collaborate with team members they haven’t worked with before. Congratulations to all the participants and winners on a job well done.