Project Description
Making use of data science to determine the best car insurance
Anyone who has been through the process will agree that finding and purchasing the best car insurance is no easy task in the US. Goatcha is the new kid on the block that aims to shake things up in the industry. Conclusion Intelligence has been Goatcha’s technology partner right from the start. Here’s how we helped Goatcha in achieving this goal:
Requirement engineering
Design & branding
Development
Cloud deployment
Theme
Intelligent Solutions
Sector
Insurance
Customer
Goatcha
The concept
Goatcha aims to empower consumers to buy the policy that best suits their needs by dramatically simplifying the process of finding, comparing and purchasing car insurance policies. Buy, sign and pay online without all the time-consuming paperwork.
The challenge
Getting a car insurance quote used to be a time-consuming process. After all, the customer had to provide a great deal of information to get one. Even then, there was no guarantee that consumers had found the best-available quote during their search or that the policy they had selected would be available immediately.
Techniques and technologies
The intent was to make the Goatcha experience so streamlined and intuitive that buying an insurance policy is not just faster and easier than ever before: ideally, using Goatcha is even a bit fun. We put together a team of a young and talented data scientist, a full stack developer, an UX-designer and an experienced IT Architect in order to provide customer with the best possible solution.
AngularJS
- Microsoft .NET
Microsoft Azure Cloud
Entity Framework
Web API frameworks
UX design
Scrum/agile
CI/CD
Details on the solution
Branding & design
We designed Goatcha so that users always have the feeling that the process is simple and easy, for example by providing the user with direct feedback about the coverage choices they make.
Data Science
One of the core ideas was to calculate quotes for car insurance policies using as little information as possible. At the same time, as much data as possible was gathered through data services. That makes generating quotes in a pricing engine possible that uses flexible and dynamic rates and rules throughout the system.
Development
The software developed by Conclusion Intelligence uses a Microsoft technology stack that leverages the latest technologies enabled by the Microsoft Azure cloud. This makes hosting and administering data for specific regions possible. The Azure platform allows for automated process scale-ups and scale-outs.
Result
We designed a simple and easy platform for finding and purchasing the best car insurance. Our analysts managed to reduce the number of questions by 40%, eliminating questions that had little or no impact on the final quote. Finally, the responsive design optimizes the layout in different resolutions across all devices, from mobile devices like phones and tablets to desktop computers, giving Goatcha the flexibility it needs to serve its diverse customer base.
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