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As an insurance company, you want to address low customer loyalty, high customer acquisition costs, and service inefficiencies. You’re looking for ways to improve personalisation, automate tasks, and offer more competitive pricing. In addition, you want a tool to assess risks and predict them accurately. You want to offer built-in insurance to your customers and easily integrate insurance into your products and services.
As an insurance startup, your goal is to get to market faster and offer a better customer experience. You want to mitigate risks and reduce operational inefficiencies. You aim to attract many investors and demonstrate your unique capabilities and high performance to them.
Thanks to data analytics and machine learning, you can gain a clear understanding of your customers' needs and preferences. You can offer personalised products and services. Campaigns based on customer data make marketing more effective, increase customer engagement and conversion. By automating routine tasks and implementing AI-powered chatbots, you can significantly improve the speed and quality of customer service.
Predictive modelling using historical data and machine learning allows you to more accurately predict the risks associated with each customer, set fair prices for insurance policies, minimise losses and avoid fraud. Dynamic pricing makes insurance products fairer and more affordable. By dividing customers into groups based on similar risks, we can develop more personalised products and services for each group, leading to better customer satisfaction and reduced losses. Machine analysis of claims data can help you identify fraudulent claims faster and more accurately, saving you money and protecting you from unscrupulous customers.
Integrating insurance directly into the process of buying goods or services makes it more accessible and convenient for customers. Online platforms and mobile applications allow customers to access insurance products and services anytime, anywhere.
Blockchain technology can guarantee data integrity and improve transparency within the insurance process. This will build trust as all parties involved can access a secure and immutable record of transactions.
Modern data protection technologies like encryption and multi-factor authentication will ensure the confidentiality and security of customers' personal information. You will know your data is well-protected.
Analysing IoT data can help your company detect early signs of potential problems, such as equipment wear and tear or risk of an accident, allowing them to take action to prevent losses.
Keller Covered, a real estate company, set out to simplify the insurance process with an intuitive digital solution. Our team developed a comprehensive web service with a detailed questionnaire and user-centred design to facilitate the insurance selection process. The solution allowed homeowners and homebuyers to easily navigate the insurance selection process, improving user experience and increased engagement.
The Computools team was very rapidely operational despite the complexity of the situation and the need for the team to adapt to our development methodologies. The Computools team could also work very remotely with very good inter-communication with the SBFinance team ensuring good efficiency despite off-shoring.
Computools are experts and act professionally, with lots of guidance on technical recommendations and with easy to understand explanations of what the technical choices mean and why one can be a better website than another. As a result, the development was completed on time and exceeded our expectations. The feedback from our customers was very positive and compared to our previous results we doubled our turnover.
Computools was selected through an RFP process. They were shortlisted and selected from between 5 other suppliers. Computools has worked thoroughly and timely to solve all security issues and launch as agreed. Their expertise is impressive.