Business travel has significantly grown over time. Companies that specialize in calculating taxes and fees related to business travel have a hard time keeping up with changes in collective labor agreements within EU member states. Our client required a fast and reliable system to keep up with a dynamic business travel environment.


To solve the challenge we used two major data sources: client travel and demographic data, and EU governmental tax websites. We applied custom-made entity recognition models, high precision filtering and prediction systems, and centralized API/UX for self-service analysis. Tech Stack used during the project: Spring, Angular JS, Amazon Web Services, Java, MongoDB, Redis and Docker.


Once the system was implemented, our client enjoyed improved accuracy of tax calculations and automated monitoring of changes in tax regulations worldwide. A few major benefits of using the platform, as outlined by the client:

⦁ High customer satisfaction rate
⦁ Ease of use
⦁ Fast speed of deployment
⦁ Increased tax compliance and reduce risk
⦁ Optimized travel costs on average by 25%

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