esure Personalizes Customer Experience Using Machine Learning on AWS
Insurance provider esure Group has transformed its customer experience and increased innovation by building a cloud-native platform on AWS. esure Group provides car, home, and travel cover to around 2.3 million customers through price comparison websites. It wanted flexible technology to support agility and the cost efficiency needed to succeed in the price-sensitive online insurance market. The company uses Amazon Connect for its call center and Amazon S3 for storage and data analysis. Today, esure can launch products in months rather than years, while also reducing operational costs.
Overview
esure Group is a UK-based insurance firm on a mission to “fix insurance for good.” As part of this goal, it aims to provide customers with a better service, including personalized experiences, competitive prices, and fast resolutions to queries. The company wanted to migrate its applications to the cloud, use machine learning (ML) to help it support attractive pricing models, and use customer data to transform insurance-buying for its customers.
esure built a cloud-based platform on Amazon Web Services (AWS) and used ML tools to create a personalized, omnichannel experience to suit each user’s preferences. It has improved the quality of customer service by creating tailored and personalized user experiences using Amazon Connect, an easy-to-use cloud contact center service. The company has integrated Amazon Connect with data from other platforms—including EIS, Forgerock, Iovation, and Braze—to create interactions that build customer loyalty.
With predictive data models that process millions of data points every second on AWS, esure can generate tailor-made insurance quotes. The business also applies ML to enhance insights into insurance risk to better detect fraud—identifying 60 percent of suspected fraud attempts compared to 40 percent previously.

About esure
esure Group is a UK-based insurance company that provides car, home, and travel cover. It was founded in 2000 and operates mostly through price comparison websites. It has around 2.3 million customers.

Using AWS, we can take advantage of machine learning to personalize customer experiences and innovate at scale.
Peter Martin-Simon
Chief Customer Officer, esure Group