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Illustration for the customer case: Integration of online appointment booking via an app of an insurance group

Online appointment integration into an app of an insurance conglomerate

The integration of bookingtime into the app of a major German insurance provider simplified the booking process and saved time and costs. The efficient rollout gave tens of thousands of users access at the same time.

Challenge:

A leading insurance provider was faced with the challenge of policyholders having to book their appointments either via the website or their agents' websites. This process was cumbersome and inefficient, as customers often had to use multiple platforms to make a simple appointment. The aim was to optimize this process by integrating the appointment booking function directly into the Group's existing app.

Solution:

The detailed documentation provided by bookingtime enabled the developers to integrate the booking function quickly and efficiently.

At the same time, the prefabricated software development kit saved the developers time and effort, as much of the basic programming work had already been completed so that they could test the new booking function directly in a special test environment without risk and ensure that everything worked perfectly.

bookingtime offered comprehensive support and advice throughout the development phase, enabling specific questions to be clarified quickly and in a targeted manner.

Result:

Customers were able to book appointments directly in the in-house app without having to switch to other platforms. This saved time and significantly reduced the workload for customers.

Thanks to bookingtime's well-documented API and SDK, the Group's developers were able to prototype and test the new function in just one week. This shortened the development time and therefore also saved costs.

With a well thought-out rollout concept, the new function was successfully introduced to tens of thousands of users at the same time. The Group was also able to use bookingtime's detailed reports and statistics to understand how well the new function was received.

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